pipeline_tag stringclasses 48
values | library_name stringclasses 198
values | text stringlengths 1 900k | metadata stringlengths 2 438k | id stringlengths 5 122 | last_modified null | tags listlengths 1 1.84k | sha null | created_at stringlengths 25 25 | arxiv listlengths 0 201 | languages listlengths 0 1.83k | tags_str stringlengths 17 9.34k | text_str stringlengths 0 389k | text_lists listlengths 0 722 | processed_texts listlengths 1 723 | tokens_length listlengths 1 723 | input_texts listlengths 1 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_SAPOL
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_SAPOL", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_SAPOL | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:VietAI/vit5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T11:46:50+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_train_Instruction0_SAPOL
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# CS505_COQE_viT5_train_Instruction0_SAPOL\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trai... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# CS505_COQE_viT5_train_Instruction0_SAPOL\n\nThis model is a fine-tuned version of Vi... | [
62,
43,
7,
9,
9,
4,
102,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# CS505_COQE_viT5_train_Instruction0_SAPOL\n\nThis model is a fine-tuned version of VietAI/v... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_OAPSL
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_OAPSL", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_OAPSL | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:VietAI/vit5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T11:46:52+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_train_Instruction0_OAPSL
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# CS505_COQE_viT5_train_Instruction0_OAPSL\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trai... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# CS505_COQE_viT5_train_Instruction0_OAPSL\n\nThis model is a fine-tuned version of Vi... | [
62,
44,
7,
9,
9,
4,
102,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# CS505_COQE_viT5_train_Instruction0_OAPSL\n\nThis model is a fine-tuned version of VietAI/v... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Sahil998/codegen-350M-mono-finetuned-python-18k-alpaca_70_percent | null | [
"transformers",
"safetensors",
"codegen",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T11:46:53+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #codegen #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #codegen #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model c... | [
38,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #codegen #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been autom... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results_bertcased
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "bert-base-cased", "model-index": [{"name": "results_bertcased", "results": []}]} | dianamihalache27/results_bertcased | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:bert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T11:47:22+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# results_bertcased
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5827
- Accuracy: 0.7320
- F1: 0.4364
## Model description
More information needed
## Intended uses & limitations
More information needed
## Trainin... | [
"# results_bertcased\n\nThis model is a fine-tuned version of bert-base-cased on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 1.5827\n- Accuracy: 0.7320\n- F1: 0.4364",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore informatio... | [
"TAGS\n#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# results_bertcased\n\nThis model is a fine-tuned version of bert-base-cased on an unknown dataset.\nIt achieves the fol... | [
52,
58,
7,
9,
9,
4,
106,
5,
44
] | [
"TAGS\n#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# results_bertcased\n\nThis model is a fine-tuned version of bert-base-cased on an unknown dataset.\nIt achieves the following... |
null | transformers |
# Uploaded model
- **Developed by:** SirDamisola
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.1-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.1-bnb-4bit"} | SirDamisola/iw_lora_model-2 | null | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"mistral",
"trl",
"en",
"base_model:unsloth/mistral-7b-instruct-v0.1-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T11:47:47+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.1-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: SirDamisola
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.1-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: SirDamisola\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instruct-v0.1-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.1-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: SirDamisola\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral... | [
70,
87
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.1-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: SirDamisola\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-in... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_AOPSL
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_AOPSL", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_AOPSL | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:VietAI/vit5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T11:48:20+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_train_Instruction0_AOPSL
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# CS505_COQE_viT5_train_Instruction0_AOPSL\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trai... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# CS505_COQE_viT5_train_Instruction0_AOPSL\n\nThis model is a fine-tuned version of Vi... | [
62,
44,
7,
9,
9,
4,
102,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# CS505_COQE_viT5_train_Instruction0_AOPSL\n\nThis model is a fine-tuned version of VietAI/v... |
image-classification | transformers |
# ZorigClassify
A model to classify the image into the thirteen arts and craft of Bhutan.
Autogenerated by HuggingPics
credit: @nateraw
## Example Images
#### shagzo woodturning
#### tshemzo tailoring-embroidery
![ tshemzo tailoring-embroidery](images/_... | {"tags": ["image-classification", "pytorch", "huggingpics"], "metrics": ["accuracy"]} | yesheytenzin/ZorigClassify | null | [
"transformers",
"tensorboard",
"safetensors",
"vit",
"image-classification",
"pytorch",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-17T11:49:16+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vit #image-classification #pytorch #huggingpics #model-index #autotrain_compatible #endpoints_compatible #has_space #region-us
|
# ZorigClassify
A model to classify the image into the thirteen arts and craft of Bhutan.
Autogenerated by HuggingPics
credit: @nateraw
## Example Images
#### shagzo woodturning
! shagzo woodturning
#### tshemzo tailoring-embroidery
! tshemzo tailoring-embroidery
#### dezo paper making
!dezo paper making
... | [
"# ZorigClassify\n\n\nA model to classify the image into the thirteen arts and craft of Bhutan.\nAutogenerated by HuggingPics\ncredit: @nateraw",
"## Example Images",
"#### shagzo woodturning\n\n! shagzo woodturning",
"#### tshemzo tailoring-embroidery\n\n! tshemzo tailoring-embroidery",
"#### dezo paper ... | [
"TAGS\n#transformers #tensorboard #safetensors #vit #image-classification #pytorch #huggingpics #model-index #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"# ZorigClassify\n\n\nA model to classify the image into the thirteen arts and craft of Bhutan.\nAutogenerated by HuggingPics\ncredit:... | [
48,
34,
4,
17,
19,
13,
11,
13,
17,
13,
15,
11,
17,
13,
17,
17
] | [
"TAGS\n#transformers #tensorboard #safetensors #vit #image-classification #pytorch #huggingpics #model-index #autotrain_compatible #endpoints_compatible #has_space #region-us \n# ZorigClassify\n\n\nA model to classify the image into the thirteen arts and craft of Bhutan.\nAutogenerated by HuggingPics\ncredit: @nate... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_POASL
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_POASL", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_POASL | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:VietAI/vit5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T11:49:35+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_train_Instruction0_POASL
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# CS505_COQE_viT5_train_Instruction0_POASL\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trai... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# CS505_COQE_viT5_train_Instruction0_POASL\n\nThis model is a fine-tuned version of Vi... | [
62,
44,
7,
9,
9,
4,
102,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# CS505_COQE_viT5_train_Instruction0_POASL\n\nThis model is a fine-tuned version of VietAI/v... |
null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | harish2962/Fintuned_Disease_Symptom | null | [
"peft",
"safetensors",
"llama",
"region:us"
] | null | 2024-04-17T11:50:01+00:00 | [] | [] | TAGS
#peft #safetensors #llama #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
"## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: False\n- bnb_4bit_quant_type: nf4\n- b... | [
"TAGS\n#peft #safetensors #llama #region-us \n",
"## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_... | [
15,
146,
13
] | [
"TAGS\n#peft #safetensors #llama #region-us \n## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_w... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505-Dev-CSI-PhoBERT_large_h2
This model is a fine-tuned version of [vinai/phobert-large](https://huggingface.co/vinai/phobert-... | {"tags": ["generated_from_trainer"], "base_model": "vinai/phobert-large", "model-index": [{"name": "CS505-Dev-CSI-PhoBERT_large_h2", "results": []}]} | ThuyNT/CS505-Dev-CSI-PhoBERT_large_h2 | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:vinai/phobert-large",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T11:50:31+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-vinai/phobert-large #autotrain_compatible #endpoints_compatible #region-us
|
# CS505-Dev-CSI-PhoBERT_large_h2
This model is a fine-tuned version of vinai/phobert-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyper... | [
"# CS505-Dev-CSI-PhoBERT_large_h2\n\nThis model is a fine-tuned version of vinai/phobert-large on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training pro... | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-vinai/phobert-large #autotrain_compatible #endpoints_compatible #region-us \n",
"# CS505-Dev-CSI-PhoBERT_large_h2\n\nThis model is a fine-tuned version of vinai/phobert-large on the None dataset.",
"... | [
49,
40,
7,
9,
9,
4,
93,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-vinai/phobert-large #autotrain_compatible #endpoints_compatible #region-us \n# CS505-Dev-CSI-PhoBERT_large_h2\n\nThis model is a fine-tuned version of vinai/phobert-large on the None dataset.## Model des... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# concat_sentence_model_v3
This model is a fine-tuned version of [vinai/bartpho-syllable-base](https://huggingface.co/vinai/bartph... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "vinai/bartpho-syllable-base", "model-index": [{"name": "concat_sentence_model_v3", "results": []}]} | long292/concat_sentence_model_v3 | null | [
"transformers",
"tensorboard",
"safetensors",
"mbart",
"text2text-generation",
"generated_from_trainer",
"base_model:vinai/bartpho-syllable-base",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T11:53:33+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-vinai/bartpho-syllable-base #autotrain_compatible #endpoints_compatible #region-us
| concat\_sentence\_model\_v3
===========================
This model is a fine-tuned version of vinai/bartpho-syllable-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8808
* Bleu: 9.3237
* Gen Len: 18.117
Model description
-----------------
More information needed
In... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
"### Training... | [
"TAGS\n#transformers #tensorboard #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-vinai/bartpho-syllable-base #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate... | [
54,
101,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-vinai/bartpho-syllable-base #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-0... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results_bertcased2
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "bert-base-cased", "model-index": [{"name": "results_bertcased2", "results": []}]} | dianamihalache27/results_bertcased2 | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:bert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T11:53:40+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# results_bertcased2
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4472
- Accuracy: 0.7233
- F1: 0.4037
## Model description
More information needed
## Intended uses & limitations
More information needed
## Traini... | [
"# results_bertcased2\n\nThis model is a fine-tuned version of bert-base-cased on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 2.4472\n- Accuracy: 0.7233\n- F1: 0.4037",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore informati... | [
"TAGS\n#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# results_bertcased2\n\nThis model is a fine-tuned version of bert-base-cased on an unknown dataset.\nIt achieves the fo... | [
52,
60,
7,
9,
9,
4,
106,
5,
44
] | [
"TAGS\n#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# results_bertcased2\n\nThis model is a fine-tuned version of bert-base-cased on an unknown dataset.\nIt achieves the followin... |
sentence-similarity | sentence-transformers |
# Yunika/sentence-transformer-nepali
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this mo... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | Yunika/sentence-transformer-nepali | null | [
"sentence-transformers",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T11:53:59+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# Yunika/sentence-transformer-nepali
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers instal... | [
"# Yunika/sentence-transformer-nepali\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.",
"## Usage (Sentence-Transformers)\n\nUsing this model becomes easy when you have sentence-transform... | [
"TAGS\n#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us \n",
"# Yunika/sentence-transformer-nepali\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for t... | [
30,
45,
30,
58,
26,
73,
5,
5
] | [
"TAGS\n#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us \n# Yunika/sentence-transformer-nepali\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks l... |
text-to-image | null | ## Model
 | {"tags": ["stable-diffusion", "text-to-image", "StableDiffusionPipeline", "lora"]} | fearvel/aki-sd-v2 | null | [
"stable-diffusion",
"text-to-image",
"StableDiffusionPipeline",
"lora",
"region:us"
] | null | 2024-04-17T11:54:11+00:00 | [] | [] | TAGS
#stable-diffusion #text-to-image #StableDiffusionPipeline #lora #region-us
| ## Model
!pipeline | [
"## Model\n\n!pipeline"
] | [
"TAGS\n#stable-diffusion #text-to-image #StableDiffusionPipeline #lora #region-us \n",
"## Model\n\n!pipeline"
] | [
25,
5
] | [
"TAGS\n#stable-diffusion #text-to-image #StableDiffusionPipeline #lora #region-us \n## Model\n\n!pipeline"
] |
image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-Kontur-competition
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-Kontur-competition", "results": []}]} | t1msan/swin-tiny-patch4-window7-224-Kontur-competition | null | [
"transformers",
"tensorboard",
"safetensors",
"swin",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:microsoft/swin-tiny-patch4-window7-224",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T11:58:19+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swin-tiny-patch4-window7-224 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| swin-tiny-patch4-window7-224-Kontur-competition
===============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0088
Model description
-----------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
"TAGS\n#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swin-tiny-patch4-window7-224 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameter... | [
71,
142,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swin-tiny-patch4-window7-224 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were... |
null | adapter-transformers |
Girly-guide is a chatbot finetuned on top of LLama-2-7b with a custom dataset comprising of all women-related queries. | {"language": ["en"], "license": "apache-2.0", "library_name": "adapter-transformers", "metrics": ["accuracy"]} | rukaiyaaaah/girly-guide | null | [
"adapter-transformers",
"pytorch",
"llama",
"en",
"license:apache-2.0",
"region:us"
] | null | 2024-04-17T11:58:40+00:00 | [] | [
"en"
] | TAGS
#adapter-transformers #pytorch #llama #en #license-apache-2.0 #region-us
|
Girly-guide is a chatbot finetuned on top of LLama-2-7b with a custom dataset comprising of all women-related queries. | [] | [
"TAGS\n#adapter-transformers #pytorch #llama #en #license-apache-2.0 #region-us \n"
] | [
28
] | [
"TAGS\n#adapter-transformers #pytorch #llama #en #license-apache-2.0 #region-us \n"
] |
null | transformers |
# zypcastles/Qwen1.5-48B-Chat-Q6_K-GGUF
This model was converted to GGUF format from [`zypcastles/Qwen1.5-48B-Chat`](https://huggingface.co/zypcastles/Qwen1.5-48B-Chat) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https:... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["Qwen/Qwen1.5-32B-Chat"]} | zypcastles/Qwen1.5-48B-Chat-Q6_K-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"base_model:Qwen/Qwen1.5-32B-Chat",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T11:58:47+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-Qwen/Qwen1.5-32B-Chat #endpoints_compatible #region-us
|
# zypcastles/Qwen1.5-48B-Chat-Q6_K-GGUF
This model was converted to GGUF format from 'zypcastles/Qwen1.5-48B-Chat' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# zypcastles/Qwen1.5-48B-Chat-Q6_K-GGUF\nThis model was converted to GGUF format from 'zypcastles/Qwen1.5-48B-Chat' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n... | [
"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-Qwen/Qwen1.5-32B-Chat #endpoints_compatible #region-us \n",
"# zypcastles/Qwen1.5-48B-Chat-Q6_K-GGUF\nThis model was converted to GGUF format from 'zypcastles/Qwen1.5-48B-Chat' using URL via the URL's GGUF-my-repo space.\nRefer to th... | [
54,
84,
52
] | [
"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-Qwen/Qwen1.5-32B-Chat #endpoints_compatible #region-us \n# zypcastles/Qwen1.5-48B-Chat-Q6_K-GGUF\nThis model was converted to GGUF format from 'zypcastles/Qwen1.5-48B-Chat' using URL via the URL's GGUF-my-repo space.\nRefer to the orig... |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-medical-internal-noise-v0
This model was trained from scratch on the None dataset.
It achieves the following results on... | {"tags": ["generated_from_trainer"], "metrics": ["wer"], "model-index": [{"name": "wav2vec2-medical-internal-noise-v0", "results": []}]} | mattlc/wav2vec2-medical-internal-noise-v0 | null | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T12:02:25+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #endpoints_compatible #region-us
| wav2vec2-medical-internal-noise-v0
==================================
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5649
* Wer: 0.3172
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
"TAGS\n#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 16\n* eval\\_batc... | [
38,
137,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 16\n* eval\\_batch\\_si... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flant-t5-function-calling
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flant-t5-function-calling", "results": []}]} | jrcastropy/flan-t5-base-query-extraction | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:google/flan-t5-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T12:04:45+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| flant-t5-function-calling
=========================
This model is a fine-tuned version of google/flan-t5-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0000
* Rouge1: 52.8136
* Rouge2: 46.102
* Rougel: 52.8115
* Rougelsum: 52.8115
* Gen Len: 19.0
Model description
---... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Training... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used dur... | [
67,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during tr... |
image-to-image | null |
# Super-Resolution with Perturbed-Attention Guidance
[Project](https://ku-cvlab.github.io/Perturbed-Attention-Guidance/) / [arXiv](https://arxiv.org/abs/2403.17377) / [GitHub](https://github.com/KU-CVLAB/Perturbed-Attention-Guidance)
This repository is based on [Diffusers](https://huggingface.co/docs/diffusers/index... | {"language": ["en"], "tags": ["Diffusion Models", "Stable Diffusion", "Perturbed-Attention Guidance", "PAG"], "pipeline_tag": "image-to-image"} | hyoungwoncho/sd_perturbed_attention_guidance_sr | null | [
"Diffusion Models",
"Stable Diffusion",
"Perturbed-Attention Guidance",
"PAG",
"image-to-image",
"en",
"arxiv:2403.17377",
"region:us"
] | null | 2024-04-17T12:05:08+00:00 | [
"2403.17377"
] | [
"en"
] | TAGS
#Diffusion Models #Stable Diffusion #Perturbed-Attention Guidance #PAG #image-to-image #en #arxiv-2403.17377 #region-us
|
# Super-Resolution with Perturbed-Attention Guidance
Project / arXiv / GitHub
This repository is based on Diffusers.
The pipeline is a modification of StableDiffusionPipeline to support super-resolution with Perturbed-Attention Guidance (PAG). Please refer to "Image-to-upscaler-to-super-resolution" section of an of... | [
"# Super-Resolution with Perturbed-Attention Guidance\n\nProject / arXiv / GitHub\n\nThis repository is based on Diffusers.\n\nThe pipeline is a modification of StableDiffusionPipeline to support super-resolution with Perturbed-Attention Guidance (PAG). Please refer to \"Image-to-upscaler-to-super-resolution\" sect... | [
"TAGS\n#Diffusion Models #Stable Diffusion #Perturbed-Attention Guidance #PAG #image-to-image #en #arxiv-2403.17377 #region-us \n",
"# Super-Resolution with Perturbed-Attention Guidance\n\nProject / arXiv / GitHub\n\nThis repository is based on Diffusers.\n\nThe pipeline is a modification of StableDiffusionPipeli... | [
39,
82,
18,
67
] | [
"TAGS\n#Diffusion Models #Stable Diffusion #Perturbed-Attention Guidance #PAG #image-to-image #en #arxiv-2403.17377 #region-us \n# Super-Resolution with Perturbed-Attention Guidance\n\nProject / arXiv / GitHub\n\nThis repository is based on Diffusers.\n\nThe pipeline is a modification of StableDiffusionPipeline to ... |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# MooBai/roberta-classical-chinese-base-char-finetuned-wikitext2
This model is a fine-tuned version of [KoichiYasuoka/roberta-classical-... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "KoichiYasuoka/roberta-classical-chinese-base-char", "model-index": [{"name": "MooBai/roberta-classical-chinese-base-char-finetuned-wikitext2", "results": []}]} | MooBai/roberta-classical-chinese-base-char-finetuned-wikitext2 | null | [
"transformers",
"tf",
"tensorboard",
"roberta",
"text-generation",
"generated_from_keras_callback",
"base_model:KoichiYasuoka/roberta-classical-chinese-base-char",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T12:05:35+00:00 | [] | [] | TAGS
#transformers #tf #tensorboard #roberta #text-generation #generated_from_keras_callback #base_model-KoichiYasuoka/roberta-classical-chinese-base-char #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| MooBai/roberta-classical-chinese-base-char-finetuned-wikitext2
==============================================================
This model is a fine-tuned version of KoichiYasuoka/roberta-classical-chinese-base-char on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.7456
*... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': 2e-05, 'decay': 0.0, 'beta\\_1': 0.9, 'beta\\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\\_decay\\_rate': 0.01}\n* training\\_precision: float32",
... | [
"TAGS\n#transformers #tf #tensorboard #roberta #text-generation #generated_from_keras_callback #base_model-KoichiYasuoka/roberta-classical-chinese-base-char #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used du... | [
67,
118,
5,
38
] | [
"TAGS\n#transformers #tf #tensorboard #roberta #text-generation #generated_from_keras_callback #base_model-KoichiYasuoka/roberta-classical-chinese-base-char #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during t... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# model_usp3_dpo1
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_usp3_dpo1", "results": []}]} | guoyu-zhang/model_usp3_dpo1 | null | [
"peft",
"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"license:llama2",
"region:us"
] | null | 2024-04-17T12:05:46+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
| model\_usp3\_dpo1
=================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2527
* Rewards/chosen: -10.7037
* Rewards/rejected: -13.2986
* Rewards/accuracies: 0.7000
* Rewards/margins: 2.5949
* Logp... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
"TAGS\n#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* s... | [
52,
140,
5,
52
] | [
"TAGS\n#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 4... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Citaman/command-r-11-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-11-layer"]} | Citaman/command-r-10-layer | null | [
"transformers",
"safetensors",
"cohere",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:Citaman/command-r-11-layer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T12:05:52+00:00 | [] | [] | TAGS
#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-11-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-11-layer
### Configuration
The following YAML configuration w... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* Citaman/command-r-11-layer",
"### Configuration\n\nThe... | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-11-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge... | [
59,
17,
4,
17,
26,
16
] | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-11-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language models created using mergekit.## Merge Details### ... |
null | null | PyTorch torchvision models in TorchSharp format, generated with [vision-TorchSharp-generator](https://huggingface.co/spaces/yueyinqiu/vision-TorchSharp-generator). | {} | yueyinqiu/vision-TorchSharp | null | [
"has_space",
"region:us"
] | null | 2024-04-17T12:09:18+00:00 | [] | [] | TAGS
#has_space #region-us
| PyTorch torchvision models in TorchSharp format, generated with vision-TorchSharp-generator. | [] | [
"TAGS\n#has_space #region-us \n"
] | [
9
] | [
"TAGS\n#has_space #region-us \n"
] |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Citaman/command-r-10-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-10-layer"]} | Citaman/command-r-9-layer | null | [
"transformers",
"safetensors",
"cohere",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:Citaman/command-r-10-layer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T12:10:21+00:00 | [] | [] | TAGS
#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-10-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-10-layer
### Configuration
The following YAML configuration w... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* Citaman/command-r-10-layer",
"### Configuration\n\nThe... | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-10-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge... | [
59,
17,
4,
17,
26,
16
] | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-10-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language models created using mergekit.## Merge Details### ... |
text-generation | transformers | ## Delexa-V0.1-Instruct-7b: Our Newest and Best Model Yet!
We are excited to announce the release of Delexa-V0.1-Instruct-7b, our newest and best model yet! Delexa-V0.1-Instruct-7b has shown excellent performance on a variety of tasks, and we are confident that it will be a valuable asset to the research community.
#... | {"license": "apache-2.0", "model-index": [{"name": "Delexa-Instruct-V0.1-7b", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "args": {"num_few_shot": 25}}, "metrics": [{"... | lex-hue/Delexa-Instruct-V0.1-7b | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"doi:10.57967/hf/2152",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T12:10:29+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #doi-10.57967/hf/2152 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Delexa-V0.1-Instruct-7b: Our Newest and Best Model Yet!
-------------------------------------------------------
We are excited to announce the release of Delexa-V0.1-Instruct-7b, our newest and best model yet! Delexa-V0.1-Instruct-7b has shown excellent performance on a variety of tasks, and we are confident that it ... | [
"### Eval Results\n\n\nDelexa-V0.1-Instruct-7b was evaluated on a dataset of question-answer pairs. The model was given a single question and three different answer choices, and it was tasked with selecting the best answer. Delexa-V0.1-Instruct-7b achieved an average score of 8.27 on this task.\n\n\nHere is a table... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #doi-10.57967/hf/2152 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Eval Results\n\n\nDelexa-V0.1-Instruct-7b was evaluated on a dataset of question-answer pai... | [
64,
92,
68,
135,
35,
69
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #doi-10.57967/hf/2152 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Eval Results\n\n\nDelexa-V0.1-Instruct-7b was evaluated on a dataset of question-answer pairs. Th... |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | qgallouedec/utkusaglm-ppo-LunarLander-v0 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-17T12:15:41+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Ad... | [
31,
52
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your... |
text-classification | transformers |
Label to predict:
0 : Negative
1: Neutral
2: Positive
Fine-tuning PhoBERT for Vietnamese Student Feedback Analysis
In the realm of Natural Language Processing (NLP), the Vietnamese language poses its own set of challenges and intricacies.
Fine-tuning language models tailored to Vietnamese, such as PhoBERT, has... | {} | Luan220703/Classification_for_StudentFeedback | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T12:16:53+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #autotrain_compatible #endpoints_compatible #region-us
|
Label to predict:
0 : Negative
1: Neutral
2: Positive
Fine-tuning PhoBERT for Vietnamese Student Feedback Analysis
In the realm of Natural Language Processing (NLP), the Vietnamese language poses its own set of challenges and intricacies.
Fine-tuning language models tailored to Vietnamese, such as PhoBERT, has... | [] | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
30
] | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #autotrain_compatible #endpoints_compatible #region-us \n"
] |
null | null | Старые модели из серии AiDT, созданные для [so-vits-svc](https://github.com/voicepaw/so-vits-svc-fork)
Zemen-SVC
[<img src="https://huggingface.co/qnezor/aidt-svc/resolve/main/files/zemen.png">](https://huggingface.co/qnezor/aidt-svc/resolve/main/zemen-svc.zip)
***
Nexzy-SVC
[<img src="https://huggingface.co/qnezor/ai... | {"language": ["ru"]} | qnezor/aidt-svc | null | [
"ru",
"region:us"
] | null | 2024-04-17T12:17:30+00:00 | [] | [
"ru"
] | TAGS
#ru #region-us
| Старые модели из серии AiDT, созданные для so-vits-svc
Zemen-SVC
<img src="URL
*
Nexzy-SVC
<img src="URL
*
Winner-SVC
<img src="URL
| [] | [
"TAGS\n#ru #region-us \n"
] | [
7
] | [
"TAGS\n#ru #region-us \n"
] |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# HSE_PRAVO_complexity_classifier_googlebert
This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](http... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-base-multilingual-cased", "model-index": [{"name": "HSE_PRAVO_complexity_classifier_googlebert", "results": []}]} | marcus2000/HSE_PRAVO_complexity_classifier_googlebert | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:google-bert/bert-base-multilingual-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T12:18:58+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-google-bert/bert-base-multilingual-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# HSE_PRAVO_complexity_classifier_googlebert
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Train... | [
"# HSE_PRAVO_complexity_classifier_googlebert\n\nThis model is a fine-tuned version of google-bert/bert-base-multilingual-cased on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore inform... | [
"TAGS\n#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-google-bert/bert-base-multilingual-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# HSE_PRAVO_complexity_classifier_googlebert\n\nThis model is a fine-tuned version of google-be... | [
60,
44,
7,
9,
9,
4,
111,
5,
44
] | [
"TAGS\n#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-google-bert/bert-base-multilingual-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# HSE_PRAVO_complexity_classifier_googlebert\n\nThis model is a fine-tuned version of google-bert/ber... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_OPSAL
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_OPSAL", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_OPSAL | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:VietAI/vit5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T12:20:08+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_train_Instruction0_OPSAL
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# CS505_COQE_viT5_train_Instruction0_OPSAL\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trai... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# CS505_COQE_viT5_train_Instruction0_OPSAL\n\nThis model is a fine-tuned version of Vi... | [
62,
43,
7,
9,
9,
4,
102,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# CS505_COQE_viT5_train_Instruction0_OPSAL\n\nThis model is a fine-tuned version of VietAI/v... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_SPOAL
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_SPOAL", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_SPOAL | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:VietAI/vit5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T12:20:21+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_train_Instruction0_SPOAL
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# CS505_COQE_viT5_train_Instruction0_SPOAL\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trai... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# CS505_COQE_viT5_train_Instruction0_SPOAL\n\nThis model is a fine-tuned version of Vi... | [
62,
44,
7,
9,
9,
4,
102,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# CS505_COQE_viT5_train_Instruction0_SPOAL\n\nThis model is a fine-tuned version of VietAI/v... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505-Dev-CSI-PhoBERT_base-v2_h2
This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phob... | {"tags": ["generated_from_trainer"], "base_model": "vinai/phobert-base-v2", "model-index": [{"name": "CS505-Dev-CSI-PhoBERT_base-v2_h2", "results": []}]} | ThuyNT/CS505-Dev-CSI-PhoBERT_base-v2_h2 | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:vinai/phobert-base-v2",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T12:21:12+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-vinai/phobert-base-v2 #autotrain_compatible #endpoints_compatible #region-us
|
# CS505-Dev-CSI-PhoBERT_base-v2_h2
This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
"# CS505-Dev-CSI-PhoBERT_base-v2_h2\n\nThis model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training... | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-vinai/phobert-base-v2 #autotrain_compatible #endpoints_compatible #region-us \n",
"# CS505-Dev-CSI-PhoBERT_base-v2_h2\n\nThis model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset.... | [
52,
46,
7,
9,
9,
4,
93,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-vinai/phobert-base-v2 #autotrain_compatible #endpoints_compatible #region-us \n# CS505-Dev-CSI-PhoBERT_base-v2_h2\n\nThis model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset.## Mod... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_APSOL
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_APSOL", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_APSOL | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:VietAI/vit5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T12:22:31+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_train_Instruction0_APSOL
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# CS505_COQE_viT5_train_Instruction0_APSOL\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trai... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# CS505_COQE_viT5_train_Instruction0_APSOL\n\nThis model is a fine-tuned version of Vi... | [
62,
43,
7,
9,
9,
4,
102,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# CS505_COQE_viT5_train_Instruction0_APSOL\n\nThis model is a fine-tuned version of VietAI/v... |
null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "liuhaotian/llava-v1.6-mistral-7b"} | rbojja/llava-v1.6-mistral-7b-med-lora | null | [
"peft",
"safetensors",
"llava_mistral",
"arxiv:1910.09700",
"base_model:liuhaotian/llava-v1.6-mistral-7b",
"region:us"
] | null | 2024-04-17T12:23:17+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #llava_mistral #arxiv-1910.09700 #base_model-liuhaotian/llava-v1.6-mistral-7b #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
"TAGS\n#peft #safetensors #llava_mistral #arxiv-1910.09700 #base_model-liuhaotian/llava-v1.6-mistral-7b #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): ... | [
51,
6,
4,
50,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5,
13
] | [
"TAGS\n#peft #safetensors #llava_mistral #arxiv-1910.09700 #base_model-liuhaotian/llava-v1.6-mistral-7b #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- F... |
sentence-similarity | sentence-transformers |
# vkimbris/wb-charcs-mapper
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model beco... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | vkimbris/wb-charcs-mapper | null | [
"sentence-transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T12:24:05+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #xlm-roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# vkimbris/wb-charcs-mapper
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
... | [
"# vkimbris/wb-charcs-mapper\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.",
"## Usage (Sentence-Transformers)\n\nUsing this model becomes easy when you have sentence-transformers inst... | [
"TAGS\n#sentence-transformers #safetensors #xlm-roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n",
"# vkimbris/wb-charcs-mapper\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clust... | [
31,
48,
30,
26,
69,
5,
5
] | [
"TAGS\n#sentence-transformers #safetensors #xlm-roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n# vkimbris/wb-charcs-mapper\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering ... |
null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: False
- _load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quan... | {"library_name": "peft"} | GenAIBK/Llama-2-7b-chat-finetune | null | [
"peft",
"safetensors",
"llama",
"region:us"
] | null | 2024-04-17T12:24:26+00:00 | [] | [] | TAGS
#peft #safetensors #llama #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: False
- _load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quan... | [
"## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- quant_method: bitsandbytes\n- _load_in_8bit: False\n- _load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: False\... | [
"TAGS\n#peft #safetensors #llama #region-us \n",
"## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- quant_method: bitsandbytes\n- _load_in_8bit: False\n- _load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu... | [
15,
189,
13
] | [
"TAGS\n#peft #safetensors #llama #region-us \n## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- quant_method: bitsandbytes\n- _load_in_8bit: False\n- _load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offlo... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_PASOL
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_PASOL", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_PASOL | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:VietAI/vit5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T12:24:35+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_train_Instruction0_PASOL
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# CS505_COQE_viT5_train_Instruction0_PASOL\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trai... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# CS505_COQE_viT5_train_Instruction0_PASOL\n\nThis model is a fine-tuned version of Vi... | [
62,
43,
7,
9,
9,
4,
102,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# CS505_COQE_viT5_train_Instruction0_PASOL\n\nThis model is a fine-tuned version of VietAI/v... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Citaman/command-r-9-layer](https://huggingf... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-9-layer"]} | Citaman/command-r-8-layer | null | [
"transformers",
"safetensors",
"cohere",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:Citaman/command-r-9-layer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T12:24:40+00:00 | [] | [] | TAGS
#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-9-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-9-layer
### Configuration
The following YAML configuration wa... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* Citaman/command-r-9-layer",
"### Configuration\n\nThe ... | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-9-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge ... | [
59,
17,
4,
17,
26,
16
] | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-9-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language models created using mergekit.## Merge Details### M... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# hello
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
## Model descrip... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "t5-small", "model-index": [{"name": "hello", "results": []}]} | Ajas2002/hello | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:t5-small",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T12:27:35+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| hello
=====
This model is a fine-tuned version of t5-small on an unknown dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 6\n* eval\\_batch\\_size: 6\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
"### Training... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during trainin... | [
62,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Yi-6B-ruozhiba2
This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the ruozhiba dataset.... | {"license": "other", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["ruozhiba"], "base_model": "01-ai/Yi-6B", "model-index": [{"name": "Yi-6B-ruozhiba2", "results": []}]} | yyx123/Yi-6B-ruozhiba2 | null | [
"peft",
"safetensors",
"llama",
"alignment-handbook",
"generated_from_trainer",
"trl",
"sft",
"dataset:ruozhiba",
"base_model:01-ai/Yi-6B",
"license:other",
"4-bit",
"region:us"
] | null | 2024-04-17T12:29:56+00:00 | [] | [] | TAGS
#peft #safetensors #llama #alignment-handbook #generated_from_trainer #trl #sft #dataset-ruozhiba #base_model-01-ai/Yi-6B #license-other #4-bit #region-us
| Yi-6B-ruozhiba2
===============
This model is a fine-tuned version of 01-ai/Yi-6B on the ruozhiba dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8109
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informat... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* lr\\_scheduler\\_warmup\\_ratio:... | [
"TAGS\n#peft #safetensors #llama #alignment-handbook #generated_from_trainer #trl #sft #dataset-ruozhiba #base_model-01-ai/Yi-6B #license-other #4-bit #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size:... | [
60,
121,
5,
52
] | [
"TAGS\n#peft #safetensors #llama #alignment-handbook #generated_from_trainer #trl #sft #dataset-ruozhiba #base_model-01-ai/Yi-6B #license-other #4-bit #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\n* ... |
text-generation | transformers |
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<!-- header... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["chat"], "model_name": "Openchat 3.5 0106", "base_model": "Qwen/CodeQwen1.5-7B-Chat", "inference": false, "license_name": "tongyi-qianwen", "model_creator": "Qwen", "model_type": "mistral", "pipeline_tag": "text-generation", "quantized_by... | second-state/CodeQwen1.5-7B-Chat-GGUF | null | [
"transformers",
"gguf",
"qwen2",
"text-generation",
"chat",
"en",
"base_model:Qwen/CodeQwen1.5-7B-Chat",
"license:other",
"autotrain_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T12:30:56+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #qwen2 #text-generation #chat #en #base_model-Qwen/CodeQwen1.5-7B-Chat #license-other #autotrain_compatible #text-generation-inference #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="URL style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
# CodeQwen1.5-7B-Chat-GGUF
## Original Model
Qwen/CodeQwen1.5-7B-Chat
## Run with LlamaEdge
- LlamaEd... | [
"# CodeQwen1.5-7B-Chat-GGUF",
"## Original Model\n\nQwen/CodeQwen1.5-7B-Chat",
"## Run with LlamaEdge\n\n- LlamaEdge version: v0.8.2 and above\n\n- Prompt template\n\n - Prompt type: 'chatml'\n\n - Prompt string\n\n \n\n- Context size: '4096'\n\n- Run as LlamaEdge service"
] | [
"TAGS\n#transformers #gguf #qwen2 #text-generation #chat #en #base_model-Qwen/CodeQwen1.5-7B-Chat #license-other #autotrain_compatible #text-generation-inference #region-us \n",
"# CodeQwen1.5-7B-Chat-GGUF",
"## Original Model\n\nQwen/CodeQwen1.5-7B-Chat",
"## Run with LlamaEdge\n\n- LlamaEdge version: v0.8.2... | [
57,
16,
18,
51
] | [
"TAGS\n#transformers #gguf #qwen2 #text-generation #chat #en #base_model-Qwen/CodeQwen1.5-7B-Chat #license-other #autotrain_compatible #text-generation-inference #region-us \n# CodeQwen1.5-7B-Chat-GGUF## Original Model\n\nQwen/CodeQwen1.5-7B-Chat## Run with LlamaEdge\n\n- LlamaEdge version: v0.8.2 and above\n\n- Pr... |
text-generation | transformers |
# T3Q-LLM-sft1.0-dpo1.0
## This model is a version of T3Q-LLM/T3Q-LLM-solar10.8-sft-v1.0 that has been fine-tuned with DPO.
## Model Developers Chihoon Lee(chihoonlee10), T3Q
## Prompt Template... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["maywell/ko_Ultrafeedback_binarized"], "pipeline_tag": "text-generation", "base model": ["yanolja/EEVE-Korean-Instruct-10.8B-v1.0"]} | T3Q-LLM/T3Q-LLM-sft1.0-dpo1.0 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"dataset:maywell/ko_Ultrafeedback_binarized",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T12:31:29+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #dataset-maywell/ko_Ultrafeedback_binarized #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| !image/png
T3Q-LLM-sft1.0-dpo1.0
=====================
This model is a version of T3Q-LLM/T3Q-LLM-solar10.8-sft-v1.0 that has been fine-tuned with DPO.
------------------------------------------------------------------------------------------------
Model Developers Chihoon Lee(chihoonlee10), T3Q
-----------------... | [
"### Example Output"
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #dataset-maywell/ko_Ultrafeedback_binarized #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Example Output"
] | [
62,
5
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #dataset-maywell/ko_Ultrafeedback_binarized #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Example Output"
] |
text-generation | transformers |
# Tess-2.0-Mixtral-8x22B
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.
# Prompt Format
``... | {"license": "apache-2.0"} | blockblockblock/Tess-2.0-Mixtral-8x22B-bpw3 | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"3-bit",
"region:us"
] | null | 2024-04-17T12:32:00+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #3-bit #region-us
|
!Tesoro
# Tess-2.0-Mixtral-8x22B
Tess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.
# Prompt Format
# Training Methodology
Tess-2.0-Mixtral-8x22B was trained on the Tess-2.0 dataset. T... | [
"# Tess-2.0-Mixtral-8x22B\nTess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B was trained on the mistral-community/Mixtral-8x22B-v0.1 base.",
"# Prompt Format",
"# Training Methodology\nTess-2.0-Mixtral-8x22B was trained on the Tess-2.0 dataset... | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #3-bit #region-us \n",
"# Tess-2.0-Mixtral-8x22B\nTess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-... | [
46,
72,
3,
104,
6,
17,
69
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #3-bit #region-us \n# Tess-2.0-Mixtral-8x22B\nTess, short for Tesoro (Treasure in Italian), is a general purpose Large Language Model series. Tess-2.0-Mixtral-8x22B ... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Arabic-QA-Mistral-7B-Instruct
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Arabic-QA-Mistral-7B-Instruct", "results": []}]} | AlyGreo/Arabic-QA-Mistral-7B-Instruct | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-17T12:32:01+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| Arabic-QA-Mistral-7B-Instruct
=============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7929
Model description
-----------------
More information needed
Intended uses & limita... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 4e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 4e-05\n* train\\_batch\\_size: 4\n* eval\\... | [
57,
142,
5,
48
] | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 4e-05\n* train\\_batch\\_size: 4\n* eval\\_batch... |
null | null |
# NikolayKozloff/DolphinLake-7B-Q8_0-GGUF
This model was converted to GGUF format from [`Noodlz/DolphinLake-7B`](https://huggingface.co/Noodlz/DolphinLake-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingf... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | NikolayKozloff/DolphinLake-7B-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-17T12:33:42+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# NikolayKozloff/DolphinLake-7B-Q8_0-GGUF
This model was converted to GGUF format from 'Noodlz/DolphinLake-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
N... | [
"# NikolayKozloff/DolphinLake-7B-Q8_0-GGUF\nThis model was converted to GGUF format from 'Noodlz/DolphinLake-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCL... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n",
"# NikolayKozloff/DolphinLake-7B-Q8_0-GGUF\nThis model was converted to GGUF format from 'Noodlz/DolphinLake-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with U... | [
32,
74,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n# NikolayKozloff/DolphinLake-7B-Q8_0-GGUF\nThis model was converted to GGUF format from 'Noodlz/DolphinLake-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInstal... |
reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/dialogsum_4088_bart-dialogsum | null | [
"transformers",
"safetensors",
"bart",
"text2text-generation",
"trl",
"ppo",
"reinforcement-learning",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T12:37:40+00:00 | [] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #trl #ppo #reinforcement-learning #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TRL library:
You can then generate te... | [
"# TRL Model\n\nThis is a TRL language model that has been fine-tuned with reinforcement learning to\n guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.",
"## Usage\n\nTo use this model for inference, first install the TRL library:\n\n\n\nYou can... | [
"TAGS\n#transformers #safetensors #bart #text2text-generation #trl #ppo #reinforcement-learning #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# TRL Model\n\nThis is a TRL language model that has been fine-tuned with reinforcement learning to\n guide the model outputs according t... | [
47,
45,
50
] | [
"TAGS\n#transformers #safetensors #bart #text2text-generation #trl #ppo #reinforcement-learning #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# TRL Model\n\nThis is a TRL language model that has been fine-tuned with reinforcement learning to\n guide the model outputs according to a va... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/0ae47eu | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T12:38:39+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed o... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-krillin42 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T12:39:12+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed o... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Citaman/command-r-8-layer](https://huggingf... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-8-layer"]} | Citaman/command-r-7-layer | null | [
"transformers",
"safetensors",
"cohere",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:Citaman/command-r-8-layer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T12:39:47+00:00 | [] | [] | TAGS
#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-8-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-8-layer
### Configuration
The following YAML configuration wa... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* Citaman/command-r-8-layer",
"### Configuration\n\nThe ... | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-8-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge ... | [
59,
17,
4,
17,
26,
16
] | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-8-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language models created using mergekit.## Merge Details### M... |
text-to-speech | en-tts |
Code is hosted on GitHub: [stefantaubert/en-tts](https://github.com/stefantaubert/en-tts) | {"language": ["en"], "license": "mit", "library_name": "en-tts", "tags": ["speech synthesis", "text-to-speech", "speech generation"]} | stefantaubert/en-tts | null | [
"en-tts",
"speech synthesis",
"text-to-speech",
"speech generation",
"en",
"license:mit",
"has_space",
"region:us"
] | null | 2024-04-17T12:41:01+00:00 | [] | [
"en"
] | TAGS
#en-tts #speech synthesis #text-to-speech #speech generation #en #license-mit #has_space #region-us
|
Code is hosted on GitHub: stefantaubert/en-tts | [] | [
"TAGS\n#en-tts #speech synthesis #text-to-speech #speech generation #en #license-mit #has_space #region-us \n"
] | [
32
] | [
"TAGS\n#en-tts #speech synthesis #text-to-speech #speech generation #en #license-mit #has_space #region-us \n"
] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/sad_pepe_32 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T12:42:54+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-2-finetuned-intentv5.0
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on th... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-finetuned-intentv5.0", "results": []}]} | mohits01/phi-2-finetuned-intentv5.0 | null | [
"peft",
"tensorboard",
"safetensors",
"phi",
"generated_from_trainer",
"custom_code",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-17T12:44:01+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #phi #generated_from_trainer #custom_code #base_model-microsoft/phi-2 #license-mit #region-us
|
# phi-2-finetuned-intentv5.0
This model is a fine-tuned version of microsoft/phi-2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamete... | [
"# phi-2-finetuned-intentv5.0\n\nThis model is a fine-tuned version of microsoft/phi-2 on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",... | [
"TAGS\n#peft #tensorboard #safetensors #phi #generated_from_trainer #custom_code #base_model-microsoft/phi-2 #license-mit #region-us \n",
"# phi-2-finetuned-intentv5.0\n\nThis model is a fine-tuned version of microsoft/phi-2 on the None dataset.",
"## Model description\n\nMore information needed",
"## Intende... | [
41,
34,
7,
9,
9,
4,
133,
5,
48
] | [
"TAGS\n#peft #tensorboard #safetensors #phi #generated_from_trainer #custom_code #base_model-microsoft/phi-2 #license-mit #region-us \n# phi-2-finetuned-intentv5.0\n\nThis model is a fine-tuned version of microsoft/phi-2 on the None dataset.## Model description\n\nMore information needed## Intended uses & limitatio... |
image-to-text | transformers |
# LLaVA-JP Model Card
## Model detail
**Model type:**
LLaVA-JP is a vision-language model that can converse about input images.<br>
This model is an LVLM model trained using [google/siglip-so400m-patch14-384](https://huggingface.co/google/siglip-so400m-patch14-384) as the image encoder and [llm-jp/llm-jp-1.3b-v1.0]... | {"language": ["ja"], "license": "cc-by-nc-4.0", "tags": ["vision", "image-captioning", "VQA"], "datasets": ["turing-motors/LLaVA-Pretrain-JA", "turing-motors/LLaVA-v1.5-Instruct-620K-JA"], "pipeline_tag": "image-to-text"} | toshi456/llava-jp-1.3b-v1.1 | null | [
"transformers",
"safetensors",
"llava-jp",
"text-generation",
"vision",
"image-captioning",
"VQA",
"image-to-text",
"ja",
"dataset:turing-motors/LLaVA-Pretrain-JA",
"dataset:turing-motors/LLaVA-v1.5-Instruct-620K-JA",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
... | null | 2024-04-17T12:44:24+00:00 | [] | [
"ja"
] | TAGS
#transformers #safetensors #llava-jp #text-generation #vision #image-captioning #VQA #image-to-text #ja #dataset-turing-motors/LLaVA-Pretrain-JA #dataset-turing-motors/LLaVA-v1.5-Instruct-620K-JA #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| LLaVA-JP Model Card
===================
Model detail
------------
Model type:
LLaVA-JP is a vision-language model that can converse about input images.
This model is an LVLM model trained using google/siglip-so400m-patch14-384 as the image encoder and llm-jp/llm-jp-1.3b-v1.0 as the text decoder. supports the i... | [] | [
"TAGS\n#transformers #safetensors #llava-jp #text-generation #vision #image-captioning #VQA #image-to-text #ja #dataset-turing-motors/LLaVA-Pretrain-JA #dataset-turing-motors/LLaVA-v1.5-Instruct-620K-JA #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n"
] | [
103
] | [
"TAGS\n#transformers #safetensors #llava-jp #text-generation #vision #image-captioning #VQA #image-to-text #ja #dataset-turing-motors/LLaVA-Pretrain-JA #dataset-turing-motors/LLaVA-v1.5-Instruct-620K-JA #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n"
] |
sentence-similarity | sentence-transformers |
# mteb-pt/average_pt_nilc_fasttext_skip_s300
This is an adaptation of pre-trained Portuguese fastText Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [http://nilc.icmc.usp.br/nilc/index.php/repositorio-de-word-embeddings-do-nilc](... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_pt_nilc_fasttext_skip_s300 | null | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"pt",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T12:45:09+00:00 | [] | [
"pt"
] | TAGS
#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us
|
# mteb-pt/average_pt_nilc_fasttext_skip_s300
This is an adaptation of pre-trained Portuguese fastText Word Embeddings to a sentence-transformers model.
The original pre-trained word embeddings can be found at: URL
This model maps sentences & paragraphs to a 300 dimensional dense vector space and can be used for... | [
"# mteb-pt/average_pt_nilc_fasttext_skip_s300\n\nThis is an adaptation of pre-trained Portuguese fastText Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be found at: URL \n\nThis model maps sentences & paragraphs to a 300 dimensional dense vector space and can b... | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n",
"# mteb-pt/average_pt_nilc_fasttext_skip_s300\n\nThis is an adaptation of pre-trained Portuguese fastText Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings... | [
24,
88,
30,
29,
5,
5
] | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n# mteb-pt/average_pt_nilc_fasttext_skip_s300\n\nThis is an adaptation of pre-trained Portuguese fastText Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can b... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Citaman/command-r-7-layer](https://huggingf... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-7-layer"]} | Citaman/command-r-6-layer | null | [
"transformers",
"safetensors",
"cohere",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:Citaman/command-r-7-layer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T12:45:24+00:00 | [] | [] | TAGS
#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-7-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-7-layer
### Configuration
The following YAML configuration wa... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* Citaman/command-r-7-layer",
"### Configuration\n\nThe ... | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-7-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge ... | [
59,
17,
4,
17,
26,
16
] | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-7-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language models created using mergekit.## Merge Details### M... |
text-generation | transformers |
# Japanese-Starling-ChatV-7B-RP
[GGUF版はこちら/Click here for the GGUF version](https://huggingface.co/Aratako/Japanese-Starling-ChatV-7B-RP-GGUF)
## 概要
[TFMC/Japanese-Starling-ChatV-7B](https://huggingface.co/TFMC/Japanese-Starling-ChatV-7B)をベースに、ロールプレイ用のデータセットを用いてLoRAでファインチューニングしたモデルです。
## プロンプトフォーマット
Mistralのchat te... | {"language": ["ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw"], "datasets": ["grimulkan/LimaRP-augmented", "Aratako/Rosebleu-1on1-Dialogues-RP"], "base_model": ["TFMC/Japanese-Starling-ChatV-7B"]} | Aratako/Japanese-Starling-ChatV-7B-RP | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"not-for-all-audiences",
"nsfw",
"ja",
"dataset:grimulkan/LimaRP-augmented",
"dataset:Aratako/Rosebleu-1on1-Dialogues-RP",
"base_model:TFMC/Japanese-Starling-ChatV-7B",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compa... | null | 2024-04-17T12:45:49+00:00 | [] | [
"ja"
] | TAGS
#transformers #safetensors #mistral #text-generation #not-for-all-audiences #nsfw #ja #dataset-grimulkan/LimaRP-augmented #dataset-Aratako/Rosebleu-1on1-Dialogues-RP #base_model-TFMC/Japanese-Starling-ChatV-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Japanese-Starling-ChatV-7B-RP
GGUF版はこちら/Click here for the GGUF version
## 概要
TFMC/Japanese-Starling-ChatV-7Bをベースに、ロールプレイ用のデータセットを用いてLoRAでファインチューニングしたモデルです。
## プロンプトフォーマット
Mistralのchat templateを利用してください。また、学習に利用したデータのフォーマットの関係上、以下のような形式が望ましいと思われます。
また、入力は'キャラ名「発話」'というような形式で、心情や情景描写は（）の中で行う事が望ましいと思われます。
### 実例... | [
"# Japanese-Starling-ChatV-7B-RP\nGGUF版はこちら/Click here for the GGUF version",
"## 概要\n\nTFMC/Japanese-Starling-ChatV-7Bをベースに、ロールプレイ用のデータセットを用いてLoRAでファインチューニングしたモデルです。",
"## プロンプトフォーマット\nMistralのchat templateを利用してください。また、学習に利用したデータのフォーマットの関係上、以下のような形式が望ましいと思われます。\n\n\n\nまた、入力は'キャラ名「発話」'というような形式で、心情や情景描写は（）の中で行う事... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #not-for-all-audiences #nsfw #ja #dataset-grimulkan/LimaRP-augmented #dataset-Aratako/Rosebleu-1on1-Dialogues-RP #base_model-TFMC/Japanese-Starling-ChatV-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-... | [
107,
31,
63,
100,
71,
36,
178,
27
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #not-for-all-audiences #nsfw #ja #dataset-grimulkan/LimaRP-augmented #dataset-Aratako/Rosebleu-1on1-Dialogues-RP #base_model-TFMC/Japanese-Starling-ChatV-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-... |
text-classification | transformers | # Cross-Encoder
This model was trained using [SentenceTransformers](https://sbert.net) [Cross-Encoder](https://www.sbert.net/examples/applications/cross-encoder/README.html) class.
## Training Data
This model was trained on [stsb](https://huggingface.co/datasets/mteb/stsbenchmark-sts). The model will predict a score... | {"tags": ["cross-encoder", "sentence-similarity", "transformers"], "pipeline_tag": "text-classification"} | tomaarsen/distilroberta-base-stsb-cross-encoder | null | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"cross-encoder",
"sentence-similarity",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T12:47:53+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #text-classification #cross-encoder #sentence-similarity #autotrain_compatible #endpoints_compatible #region-us
| # Cross-Encoder
This model was trained using SentenceTransformers Cross-Encoder class.
## Training Data
This model was trained on stsb. The model will predict a score between 0 and 1 for how semantically similarity two sentences are.
## Usage and Performance
The model will predict scores for the pairs '('Senten... | [
"# Cross-Encoder\n\nThis model was trained using SentenceTransformers Cross-Encoder class.",
"## Training Data\n\nThis model was trained on stsb. The model will predict a score between 0 and 1 for how semantically similarity two sentences are.",
"## Usage and Performance\n\n\n\nThe model will predict scores for... | [
"TAGS\n#transformers #safetensors #roberta #text-classification #cross-encoder #sentence-similarity #autotrain_compatible #endpoints_compatible #region-us \n",
"# Cross-Encoder\n\nThis model was trained using SentenceTransformers Cross-Encoder class.",
"## Training Data\n\nThis model was trained on stsb. The mo... | [
37,
23,
31,
41,
20
] | [
"TAGS\n#transformers #safetensors #roberta #text-classification #cross-encoder #sentence-similarity #autotrain_compatible #endpoints_compatible #region-us \n# Cross-Encoder\n\nThis model was trained using SentenceTransformers Cross-Encoder class.## Training Data\n\nThis model was trained on stsb. The model will pre... |
sentence-similarity | sentence-transformers |
# mteb-pt/average_pt_nilc_fasttext_skip_s600
This is an adaptation of pre-trained Portuguese fastText Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [http://nilc.icmc.usp.br/nilc/index.php/repositorio-de-word-embeddings-do-nilc](... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_pt_nilc_fasttext_skip_s600 | null | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"pt",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T12:48:35+00:00 | [] | [
"pt"
] | TAGS
#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us
|
# mteb-pt/average_pt_nilc_fasttext_skip_s600
This is an adaptation of pre-trained Portuguese fastText Word Embeddings to a sentence-transformers model.
The original pre-trained word embeddings can be found at: URL
This model maps sentences & paragraphs to a 600 dimensional dense vector space and can be used for... | [
"# mteb-pt/average_pt_nilc_fasttext_skip_s600\n\nThis is an adaptation of pre-trained Portuguese fastText Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be found at: URL \n\nThis model maps sentences & paragraphs to a 600 dimensional dense vector space and can b... | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n",
"# mteb-pt/average_pt_nilc_fasttext_skip_s600\n\nThis is an adaptation of pre-trained Portuguese fastText Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings... | [
24,
88,
30,
29,
5,
5
] | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n# mteb-pt/average_pt_nilc_fasttext_skip_s600\n\nThis is an adaptation of pre-trained Portuguese fastText Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can b... |
null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | sidd21sharma/llama-2-7b-miniguanaco | null | [
"peft",
"llama",
"region:us"
] | null | 2024-04-17T12:48:41+00:00 | [] | [] | TAGS
#peft #llama #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
"## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: False\n- bnb_4bit_quant_type: nf4\n- b... | [
"TAGS\n#peft #llama #region-us \n",
"## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: ... | [
11,
144,
13
] | [
"TAGS\n#peft #llama #region-us \n## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: False\... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Citaman/command-r-6-layer](https://huggingf... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-6-layer"]} | Citaman/command-r-5-layer | null | [
"transformers",
"safetensors",
"cohere",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:Citaman/command-r-6-layer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T12:49:03+00:00 | [] | [] | TAGS
#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-6-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-6-layer
### Configuration
The following YAML configuration wa... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* Citaman/command-r-6-layer",
"### Configuration\n\nThe ... | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-6-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge ... | [
59,
17,
4,
17,
26,
16
] | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-6-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language models created using mergekit.## Merge Details### M... |
text-to-image | null | ## Model
 | {"tags": ["stable-diffusion", "text-to-image", "StableDiffusionPipeline", "lora"]} | fearvel/cutifiedanimecharacterdesign-variant-type-C-SD | null | [
"stable-diffusion",
"text-to-image",
"StableDiffusionPipeline",
"lora",
"region:us"
] | null | 2024-04-17T12:49:36+00:00 | [] | [] | TAGS
#stable-diffusion #text-to-image #StableDiffusionPipeline #lora #region-us
| ## Model
!pipeline | [
"## Model\n\n!pipeline"
] | [
"TAGS\n#stable-diffusion #text-to-image #StableDiffusionPipeline #lora #region-us \n",
"## Model\n\n!pipeline"
] | [
25,
5
] | [
"TAGS\n#stable-diffusion #text-to-image #StableDiffusionPipeline #lora #region-us \n## Model\n\n!pipeline"
] |
fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Pretraining_Test_v5
This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/deberta-base", "model-index": [{"name": "Pretraining_Test_v5", "results": []}]} | JJ-Tae/Pretraining_Test_v5 | null | [
"transformers",
"tensorboard",
"safetensors",
"deberta",
"fill-mask",
"generated_from_trainer",
"base_model:microsoft/deberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T12:49:42+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #deberta #fill-mask #generated_from_trainer #base_model-microsoft/deberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# Pretraining_Test_v5
This model is a fine-tuned version of microsoft/deberta-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparame... | [
"# Pretraining_Test_v5\n\nThis model is a fine-tuned version of microsoft/deberta-base on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure... | [
"TAGS\n#transformers #tensorboard #safetensors #deberta #fill-mask #generated_from_trainer #base_model-microsoft/deberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"# Pretraining_Test_v5\n\nThis model is a fine-tuned version of microsoft/deberta-base on an unknown dataset.",
"... | [
54,
31,
7,
9,
9,
4,
93,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #deberta #fill-mask #generated_from_trainer #base_model-microsoft/deberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n# Pretraining_Test_v5\n\nThis model is a fine-tuned version of microsoft/deberta-base on an unknown dataset.## Model des... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Mihaj/wav2vec2-large-uralic-voxpopuli-v2-karelian-with-tempo-aug | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T12:50:18+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- ... | [
22,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optiona... |
sentence-similarity | sentence-transformers |
# mteb-pt/average_pt_nilc_glove_s100
This is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [http://nilc.icmc.usp.br/nilc/index.php/repositorio-de-word-embeddings-do-nilc](http://nilc... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_pt_nilc_glove_s100 | null | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"pt",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T12:50:28+00:00 | [] | [
"pt"
] | TAGS
#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us
|
# mteb-pt/average_pt_nilc_glove_s100
This is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a sentence-transformers model.
The original pre-trained word embeddings can be found at: URL
This model maps sentences & paragraphs to a 100 dimensional dense vector space and can be used for tasks like... | [
"# mteb-pt/average_pt_nilc_glove_s100\n\nThis is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be found at: URL \n\nThis model maps sentences & paragraphs to a 100 dimensional dense vector space and can be used for ... | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n",
"# mteb-pt/average_pt_nilc_glove_s100\n\nThis is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be fou... | [
24,
83,
30,
29,
5,
5
] | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n# mteb-pt/average_pt_nilc_glove_s100\n\nThis is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be found at:... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Yi-6B-zhihu2
This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the zhihu dataset.
It ac... | {"license": "other", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["zhihu"], "base_model": "01-ai/Yi-6B", "model-index": [{"name": "Yi-6B-zhihu2", "results": []}]} | yyx123/Yi-6B-zhihu2 | null | [
"peft",
"safetensors",
"llama",
"alignment-handbook",
"generated_from_trainer",
"trl",
"sft",
"dataset:zhihu",
"base_model:01-ai/Yi-6B",
"license:other",
"4-bit",
"region:us"
] | null | 2024-04-17T12:50:59+00:00 | [] | [] | TAGS
#peft #safetensors #llama #alignment-handbook #generated_from_trainer #trl #sft #dataset-zhihu #base_model-01-ai/Yi-6B #license-other #4-bit #region-us
| Yi-6B-zhihu2
============
This model is a fine-tuned version of 01-ai/Yi-6B on the zhihu dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4003
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information neede... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: cosine\n* lr\\_scheduler\\_warmup\\_ratio:... | [
"TAGS\n#peft #safetensors #llama #alignment-handbook #generated_from_trainer #trl #sft #dataset-zhihu #base_model-01-ai/Yi-6B #license-other #4-bit #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\... | [
59,
121,
5,
52
] | [
"TAGS\n#peft #safetensors #llama #alignment-handbook #generated_from_trainer #trl #sft #dataset-zhihu #base_model-01-ai/Yi-6B #license-other #4-bit #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\n* eva... |
sentence-similarity | sentence-transformers |
# mteb-pt/average_pt_nilc_glove_s300
This is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [http://nilc.icmc.usp.br/nilc/index.php/repositorio-de-word-embeddings-do-nilc](http://nilc... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_pt_nilc_glove_s300 | null | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"pt",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T12:52:06+00:00 | [] | [
"pt"
] | TAGS
#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us
|
# mteb-pt/average_pt_nilc_glove_s300
This is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a sentence-transformers model.
The original pre-trained word embeddings can be found at: URL
This model maps sentences & paragraphs to a 300 dimensional dense vector space and can be used for tasks like... | [
"# mteb-pt/average_pt_nilc_glove_s300\n\nThis is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be found at: URL \n\nThis model maps sentences & paragraphs to a 300 dimensional dense vector space and can be used for ... | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n",
"# mteb-pt/average_pt_nilc_glove_s300\n\nThis is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be fou... | [
24,
84,
30,
29,
5,
5
] | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n# mteb-pt/average_pt_nilc_glove_s300\n\nThis is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be found at:... |
sentence-similarity | sentence-transformers |
# mteb-pt/average_pt_nilc_glove_s50
This is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a [sentence-transformers](https://www.SBERT.net) model.
The original pre-trained word embeddings can be found at: [http://nilc.icmc.usp.br/nilc/index.php/repositorio-de-word-embeddings-do-nilc](http://nilc.... | {"language": ["pt"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | pt-mteb/average_pt_nilc_glove_s50 | null | [
"sentence-transformers",
"feature-extraction",
"sentence-similarity",
"pt",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T12:52:59+00:00 | [] | [
"pt"
] | TAGS
#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us
|
# mteb-pt/average_pt_nilc_glove_s50
This is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a sentence-transformers model.
The original pre-trained word embeddings can be found at: URL
This model maps sentences & paragraphs to a 50 dimensional dense vector space and can be used for tasks like c... | [
"# mteb-pt/average_pt_nilc_glove_s50\n\nThis is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be found at: URL \n\nThis model maps sentences & paragraphs to a 50 dimensional dense vector space and can be used for ta... | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n",
"# mteb-pt/average_pt_nilc_glove_s50\n\nThis is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be foun... | [
24,
83,
30,
29,
5,
5
] | [
"TAGS\n#sentence-transformers #feature-extraction #sentence-similarity #pt #endpoints_compatible #region-us \n# mteb-pt/average_pt_nilc_glove_s50\n\nThis is an adaptation of pre-trained Portuguese GloVe Word Embeddings to a sentence-transformers model. \n\nThe original pre-trained word embeddings can be found at: ... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [mistralai/Mistral-7B-Instruct-v0.2](https:/... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.2", "arcee-ai/sec-mistral-7b-instruct-1.6-epoch"]} | MAsad789565/mergekit-slerp-bkyfkot | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"base_model:arcee-ai/sec-mistral-7b-instruct-1.6-epoch",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:u... | null | 2024-04-17T12:52:59+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-mistralai/Mistral-7B-Instruct-v0.2 #base_model-arcee-ai/sec-mistral-7b-instruct-1.6-epoch #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* mistralai/Mistral-7B-Instruct-v0.2
* arcee-ai/sec-mistral-7b-instruct-1.6-epoch
... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* mistralai/Mistral-7B-Instruct-v0.2\n* arcee-ai/sec-mistr... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-mistralai/Mistral-7B-Instruct-v0.2 #base_model-arcee-ai/sec-mistral-7b-instruct-1.6-epoch #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of p... | [
90,
17,
4,
17,
54,
16
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-mistralai/Mistral-7B-Instruct-v0.2 #base_model-arcee-ai/sec-mistral-7b-instruct-1.6-epoch #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-tra... |
null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut_synDB_test_new
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/don... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut_synDB_test_new", "results": []}]} | Donut01/donut_synDB_test_new | null | [
"transformers",
"tensorboard",
"safetensors",
"vision-encoder-decoder",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T12:54:58+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us
| donut\_synDB\_test\_new
=======================
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0795
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10\n* mixed\\_preci... | [
"TAGS\n#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\... | [
62,
112,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate:... |
feature-extraction | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned_bge_ver16
This model is a fine-tuned version of [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "BAAI/bge-m3", "model-index": [{"name": "finetuned_bge_ver16", "results": []}]} | comet24082002/finetuned_bge_ver16 | null | [
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"feature-extraction",
"generated_from_trainer",
"base_model:BAAI/bge-m3",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T12:56:06+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #xlm-roberta #feature-extraction #generated_from_trainer #base_model-BAAI/bge-m3 #license-mit #endpoints_compatible #region-us
|
# finetuned_bge_ver16
This model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The f... | [
"# finetuned_bge_ver16\n\nThis model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### T... | [
"TAGS\n#transformers #tensorboard #safetensors #xlm-roberta #feature-extraction #generated_from_trainer #base_model-BAAI/bge-m3 #license-mit #endpoints_compatible #region-us \n",
"# finetuned_bge_ver16\n\nThis model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.",
"## Model description\n\nMore in... | [
50,
33,
7,
9,
9,
4,
158,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #xlm-roberta #feature-extraction #generated_from_trainer #base_model-BAAI/bge-m3 #license-mit #endpoints_compatible #region-us \n# finetuned_bge_ver16\n\nThis model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.## Model description\n\nMore information ne... |
null | transformers | # gemma-7b-GGUF
- Original model: [gemma-7b](https://huggingface.co/google/gemma-7b)
<!-- description start -->
## Description
This repo contains GGUF format model files for [gemma-7b](https://huggingface.co/google/gemma-7b).
<!-- description end -->
<!-- README_GGUF.md-about-gguf start -->
### About GGUF
GGUF is a ... | {"license": "gemma", "library_name": "transformers", "tags": ["GGUF"], "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access Gemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face a... | LiteLLMs/gemma-7b-GGUF | null | [
"transformers",
"gguf",
"GGUF",
"arxiv:2305.14314",
"arxiv:2312.11805",
"license:gemma",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T12:56:31+00:00 | [
"2305.14314",
"2312.11805"
] | [] | TAGS
#transformers #gguf #GGUF #arxiv-2305.14314 #arxiv-2312.11805 #license-gemma #endpoints_compatible #region-us
| # gemma-7b-GGUF
- Original model: gemma-7b
## Description
This repo contains GGUF format model files for gemma-7b.
### About GGUF
GGUF is a new format introduced by the URL team on August 21st 2023. It is a replacement for GGML, which is no longer supported by URL.
Here is an incomplete list of clients and librar... | [
"# gemma-7b-GGUF\n- Original model: gemma-7b",
"## Description\n\nThis repo contains GGUF format model files for gemma-7b.",
"### About GGUF\nGGUF is a new format introduced by the URL team on August 21st 2023. It is a replacement for GGML, which is no longer supported by URL.\nHere is an incomplete list of cli... | [
"TAGS\n#transformers #gguf #GGUF #arxiv-2305.14314 #arxiv-2312.11805 #license-gemma #endpoints_compatible #region-us \n",
"# gemma-7b-GGUF\n- Original model: gemma-7b",
"## Description\n\nThis repo contains GGUF format model files for gemma-7b.",
"### About GGUF\nGGUF is a new format introduced by the URL tea... | [
45,
17,
19,
419,
314,
83,
67,
206,
172,
47,
82,
37,
20,
14,
54,
9,
85,
14,
141,
19,
53,
102,
10,
14,
37,
34,
37,
56,
16,
157,
110,
11,
228,
133,
10,
63,
17,
231,
218,
374,
70
] | [
"TAGS\n#transformers #gguf #GGUF #arxiv-2305.14314 #arxiv-2312.11805 #license-gemma #endpoints_compatible #region-us \n# gemma-7b-GGUF\n- Original model: gemma-7b## Description\n\nThis repo contains GGUF format model files for gemma-7b.### About GGUF\nGGUF is a new format introduced by the URL team on August 21st 2... |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GPT2-705M
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following res... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "GPT2-705M", "results": []}]} | ninagroot/GPT2-705M-RUN1 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T12:58:20+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GPT2-705M
=========
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 5.4628
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Traini... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.00025\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsil... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.00025\n* train\... | [
44,
153,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.00025\n* train\\_batc... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# model_usp4_dpo1
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_usp4_dpo1", "results": []}]} | guoyu-zhang/model_usp4_dpo1 | null | [
"peft",
"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"license:llama2",
"region:us"
] | null | 2024-04-17T12:58:22+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us
| model\_usp4\_dpo1
=================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3096
* Rewards/chosen: -11.2358
* Rewards/rejected: -13.1040
* Rewards/accuracies: 0.5700
* Rewards/margins: 1.8682
* Logp... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
"TAGS\n#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* s... | [
52,
140,
5,
52
] | [
"TAGS\n#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #license-llama2 #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 4... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-krillin45 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T12:59:45+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed o... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Citaman/command-r-5-layer](https://huggingf... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-5-layer"]} | Citaman/command-r-4-layer | null | [
"transformers",
"safetensors",
"cohere",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:Citaman/command-r-5-layer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T13:00:58+00:00 | [] | [] | TAGS
#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-5-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-5-layer
### Configuration
The following YAML configuration wa... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* Citaman/command-r-5-layer",
"### Configuration\n\nThe ... | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-5-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge ... | [
59,
17,
4,
17,
26,
16
] | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-5-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language models created using mergekit.## Merge Details### M... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | sin66x/demo-sp2text-fa | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T13:01:05+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- ... | [
22,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optiona... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["trl", "orpo", "generated_from_trainer"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "base_model": "HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1", "quantized_by": "mradermacher"} | mradermacher/zephyr-orpo-141b-A35b-v0.1-i1-GGUF | null | [
"transformers",
"gguf",
"trl",
"orpo",
"generated_from_trainer",
"en",
"dataset:argilla/distilabel-capybara-dpo-7k-binarized",
"base_model:HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T13:02:00+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #trl #orpo #generated_from_trainer #en #dataset-argilla/distilabel-capybara-dpo-7k-binarized #base_model-HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #trl #orpo #generated_from_trainer #en #dataset-argilla/distilabel-capybara-dpo-7k-binarized #base_model-HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1 #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
92
] | [
"TAGS\n#transformers #gguf #trl #orpo #generated_from_trainer #en #dataset-argilla/distilabel-capybara-dpo-7k-binarized #base_model-HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1 #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
text-generation | transformers |
# NikolayKozloff/Llama-portuguese-13b-Luana-v0.2-Q6_K-GGUF
This model was converted to GGUF format from [`rhaymison/Llama-portuguese-13b-Luana-v0.2`](https://huggingface.co/rhaymison/Llama-portuguese-13b-Luana-v0.2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) s... | {"language": ["pt"], "license": "apache-2.0", "library_name": "transformers", "tags": ["Misral", "Portuguese", "7b", "llama-cpp", "gguf-my-repo"], "datasets": ["pablo-moreira/gpt4all-j-prompt-generations-pt", "rhaymison/superset"], "base_model": "meta-llama/Llama-2-13b-chat-hf", "pipeline_tag": "text-generation", "mode... | NikolayKozloff/Llama-portuguese-13b-Luana-v0.2-GGUF | null | [
"transformers",
"gguf",
"Misral",
"Portuguese",
"7b",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"pt",
"dataset:pablo-moreira/gpt4all-j-prompt-generations-pt",
"dataset:rhaymison/superset",
"base_model:meta-llama/Llama-2-13b-chat-hf",
"license:apache-2.0",
"model-index",
"endpoints_... | null | 2024-04-17T13:02:06+00:00 | [] | [
"pt"
] | TAGS
#transformers #gguf #Misral #Portuguese #7b #llama-cpp #gguf-my-repo #text-generation #pt #dataset-pablo-moreira/gpt4all-j-prompt-generations-pt #dataset-rhaymison/superset #base_model-meta-llama/Llama-2-13b-chat-hf #license-apache-2.0 #model-index #endpoints_compatible #region-us
|
# NikolayKozloff/Llama-portuguese-13b-Luana-v0.2-Q6_K-GGUF
This model was converted to GGUF format from 'rhaymison/Llama-portuguese-13b-Luana-v0.2' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL ser... | [
"# NikolayKozloff/Llama-portuguese-13b-Luana-v0.2-Q6_K-GGUF\nThis model was converted to GGUF format from 'rhaymison/Llama-portuguese-13b-Luana-v0.2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nIn... | [
"TAGS\n#transformers #gguf #Misral #Portuguese #7b #llama-cpp #gguf-my-repo #text-generation #pt #dataset-pablo-moreira/gpt4all-j-prompt-generations-pt #dataset-rhaymison/superset #base_model-meta-llama/Llama-2-13b-chat-hf #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
"# NikolayKozloff/Ll... | [
111,
95,
52
] | [
"TAGS\n#transformers #gguf #Misral #Portuguese #7b #llama-cpp #gguf-my-repo #text-generation #pt #dataset-pablo-moreira/gpt4all-j-prompt-generations-pt #dataset-rhaymison/superset #base_model-meta-llama/Llama-2-13b-chat-hf #license-apache-2.0 #model-index #endpoints_compatible #region-us \n# NikolayKozloff/Llama-po... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# multilingual-e5-large-guardrail-task-classifier-training_1000k
This model is a fine-tuned version of [intfloat/multilingual-e5-l... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "intfloat/multilingual-e5-large", "model-index": [{"name": "multilingual-e5-large-guardrail-task-classifier-training_1000k", "results": []}]} | tosh97/multilingual-e5-large-guardrail-task-classifier-training_1000k | null | [
"transformers",
"safetensors",
"xlm-roberta",
"text-classification",
"generated_from_trainer",
"base_model:intfloat/multilingual-e5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T13:02:12+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #text-classification #generated_from_trainer #base_model-intfloat/multilingual-e5-large #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# multilingual-e5-large-guardrail-task-classifier-training_1000k
This model is a fine-tuned version of intfloat/multilingual-e5-large on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information need... | [
"# multilingual-e5-large-guardrail-task-classifier-training_1000k\n\nThis model is a fine-tuned version of intfloat/multilingual-e5-large on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\... | [
"TAGS\n#transformers #safetensors #xlm-roberta #text-classification #generated_from_trainer #base_model-intfloat/multilingual-e5-large #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"# multilingual-e5-large-guardrail-task-classifier-training_1000k\n\nThis model is a fine-tuned version of... | [
57,
49,
7,
9,
9,
4,
93,
44
] | [
"TAGS\n#transformers #safetensors #xlm-roberta #text-classification #generated_from_trainer #base_model-intfloat/multilingual-e5-large #license-mit #autotrain_compatible #endpoints_compatible #region-us \n# multilingual-e5-large-guardrail-task-classifier-training_1000k\n\nThis model is a fine-tuned version of intfl... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base-guardrail-legal-advice-classifier-training
This model is a fine-tuned version of [FacebookAI/roberta-base](https://... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "roberta-base-guardrail-legal-advice-classifier-training", "results": []}]} | tosh97/roberta-base-guardrail-legal-advice-classifier-training | null | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:FacebookAI/roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T13:03:27+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-FacebookAI/roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| roberta-base-guardrail-legal-advice-classifier-training
=======================================================
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6821
* F1: 0.4123
Model description
--------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-06\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
"### Train... | [
"TAGS\n#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-FacebookAI/roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1... | [
48,
101,
5,
44
] | [
"TAGS\n#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-FacebookAI/roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-06\n... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Citaman/command-r-4-layer](https://huggingf... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-4-layer"]} | Citaman/command-r-3-layer | null | [
"transformers",
"safetensors",
"cohere",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:Citaman/command-r-4-layer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T13:04:22+00:00 | [] | [] | TAGS
#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-4-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-4-layer
### Configuration
The following YAML configuration wa... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* Citaman/command-r-4-layer",
"### Configuration\n\nThe ... | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-4-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge ... | [
59,
17,
4,
17,
26,
16
] | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-4-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language models created using mergekit.## Merge Details### M... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505-Dev-CSI-PhoBERT_base_h3
This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-ba... | {"tags": ["generated_from_trainer"], "base_model": "vinai/phobert-base", "model-index": [{"name": "CS505-Dev-CSI-PhoBERT_base_h3", "results": []}]} | ThuyNT/CS505-Dev-CSI-PhoBERT_base_h3 | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:vinai/phobert-base",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T13:05:55+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-vinai/phobert-base #autotrain_compatible #endpoints_compatible #region-us
|
# CS505-Dev-CSI-PhoBERT_base_h3
This model is a fine-tuned version of vinai/phobert-base on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpa... | [
"# CS505-Dev-CSI-PhoBERT_base_h3\n\nThis model is a fine-tuned version of vinai/phobert-base on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training proce... | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-vinai/phobert-base #autotrain_compatible #endpoints_compatible #region-us \n",
"# CS505-Dev-CSI-PhoBERT_base_h3\n\nThis model is a fine-tuned version of vinai/phobert-base on the None dataset.",
"## ... | [
49,
40,
7,
9,
9,
4,
93,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-vinai/phobert-base #autotrain_compatible #endpoints_compatible #region-us \n# CS505-Dev-CSI-PhoBERT_base_h3\n\nThis model is a fine-tuned version of vinai/phobert-base on the None dataset.## Model descri... |
text-generation | transformers |
# NikolayKozloff/Qwen-portuguese-luana-7b-Q8_0-GGUF
This model was converted to GGUF format from [`rhaymison/Qwen-portuguese-luana-7b`](https://huggingface.co/rhaymison/Qwen-portuguese-luana-7b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [o... | {"language": ["pt"], "license": "apache-2.0", "library_name": "transformers", "tags": ["Misral", "Portuguese", "7b", "chat", "portugues", "llama-cpp", "gguf-my-repo"], "datasets": ["rhaymison/superset"], "base_model": "Qwen/Qwen1.5-7B", "pipeline_tag": "text-generation", "model-index": [{"name": "Qwen-portuguese-luana-... | NikolayKozloff/Qwen-portuguese-luana-7b-GGUF | null | [
"transformers",
"gguf",
"Misral",
"Portuguese",
"7b",
"chat",
"portugues",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"pt",
"dataset:rhaymison/superset",
"base_model:Qwen/Qwen1.5-7B",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T13:07:04+00:00 | [] | [
"pt"
] | TAGS
#transformers #gguf #Misral #Portuguese #7b #chat #portugues #llama-cpp #gguf-my-repo #text-generation #pt #dataset-rhaymison/superset #base_model-Qwen/Qwen1.5-7B #license-apache-2.0 #model-index #endpoints_compatible #region-us
|
# NikolayKozloff/Qwen-portuguese-luana-7b-Q8_0-GGUF
This model was converted to GGUF format from 'rhaymison/Qwen-portuguese-luana-7b' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI... | [
"# NikolayKozloff/Qwen-portuguese-luana-7b-Q8_0-GGUF\nThis model was converted to GGUF format from 'rhaymison/Qwen-portuguese-luana-7b' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL s... | [
"TAGS\n#transformers #gguf #Misral #Portuguese #7b #chat #portugues #llama-cpp #gguf-my-repo #text-generation #pt #dataset-rhaymison/superset #base_model-Qwen/Qwen1.5-7B #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
"# NikolayKozloff/Qwen-portuguese-luana-7b-Q8_0-GGUF\nThis model was conv... | [
90,
85,
52
] | [
"TAGS\n#transformers #gguf #Misral #Portuguese #7b #chat #portugues #llama-cpp #gguf-my-repo #text-generation #pt #dataset-rhaymison/superset #base_model-Qwen/Qwen1.5-7B #license-apache-2.0 #model-index #endpoints_compatible #region-us \n# NikolayKozloff/Qwen-portuguese-luana-7b-Q8_0-GGUF\nThis model was converted ... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Citaman/command-r-3-layer](https://huggingf... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-3-layer"]} | Citaman/command-r-2-layer | null | [
"transformers",
"safetensors",
"cohere",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:Citaman/command-r-3-layer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T13:07:44+00:00 | [] | [] | TAGS
#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-3-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-3-layer
### Configuration
The following YAML configuration wa... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* Citaman/command-r-3-layer",
"### Configuration\n\nThe ... | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-3-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge ... | [
59,
17,
4,
17,
26,
16
] | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-3-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language models created using mergekit.## Merge Details### M... |
sentence-similarity | sentence-transformers |
# HSR-HF/sts-rf-noscore
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes e... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | HSR-HF/sts-rf-noscore | null | [
"sentence-transformers",
"safetensors",
"roberta",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T13:07:51+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# HSR-HF/sts-rf-noscore
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then ... | [
"# HSR-HF/sts-rf-noscore\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.",
"## Usage (Sentence-Transformers)\n\nUsing this model becomes easy when you have sentence-transformers installed... | [
"TAGS\n#sentence-transformers #safetensors #roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n",
"# HSR-HF/sts-rf-noscore\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or ... | [
28,
48,
30,
26,
88,
5,
5
] | [
"TAGS\n#sentence-transformers #safetensors #roberta #feature-extraction #sentence-similarity #endpoints_compatible #region-us \n# HSR-HF/sts-rf-noscore\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semant... |
null | transformers |
# Uploaded model
- **Developed by:** SirDamisola
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.1-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "unsloth/mistral-7b-instruct-v0.1-bnb-4bit"} | SirDamisola/lora_model_quantized-2 | null | [
"transformers",
"gguf",
"mistral",
"text-generation-inference",
"unsloth",
"en",
"base_model:unsloth/mistral-7b-instruct-v0.1-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T13:08:37+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mistral #text-generation-inference #unsloth #en #base_model-unsloth/mistral-7b-instruct-v0.1-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: SirDamisola
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.1-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: SirDamisola\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instruct-v0.1-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #gguf #mistral #text-generation-inference #unsloth #en #base_model-unsloth/mistral-7b-instruct-v0.1-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: SirDamisola\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instruct... | [
67,
87
] | [
"TAGS\n#transformers #gguf #mistral #text-generation-inference #unsloth #en #base_model-unsloth/mistral-7b-instruct-v0.1-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: SirDamisola\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instruct-v0.1-... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# imdb-spoiler-robertaOrigDataset
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookA... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "recall", "precision", "f1"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "imdb-spoiler-robertaOrigDataset", "results": []}]} | Zritze/imdb-spoiler-robertaOrigDataset | null | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:FacebookAI/roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T13:09:10+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-FacebookAI/roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| imdb-spoiler-robertaOrigDataset
===============================
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7375
* Accuracy: 0.708
* Recall: 0.664
* Precision: 0.7281
* F1: 0.6946
Model description
----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Training... | [
"TAGS\n#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-FacebookAI/roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2... | [
48,
101,
5,
44
] | [
"TAGS\n#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-FacebookAI/roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n... |
token-classification | transformers |
## Model Specification
- Model: XLM-RoBERTa (base-sized model)
- Training Data:
- Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, Norwegian, Urdu, Czech, & Persian corpora (Top 8 Languages)
- Training Details:
- Base configurations with a minor adjustment in learning rate (4.5e-5)
## Evaluation
- Evaluation Dat... | {"language": ["tl"], "datasets": ["universal_dependencies"], "metrics": ["f1"], "pipeline_tag": "token-classification"} | iceman2434/xlm-roberta-base-ft-udpos213-top8lang | null | [
"transformers",
"pytorch",
"xlm-roberta",
"token-classification",
"tl",
"dataset:universal_dependencies",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T13:10:04+00:00 | [] | [
"tl"
] | TAGS
#transformers #pytorch #xlm-roberta #token-classification #tl #dataset-universal_dependencies #autotrain_compatible #endpoints_compatible #region-us
|
## Model Specification
- Model: XLM-RoBERTa (base-sized model)
- Training Data:
- Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, Norwegian, Urdu, Czech, & Persian corpora (Top 8 Languages)
- Training Details:
- Base configurations with a minor adjustment in learning rate (4.5e-5)
## Evaluation
- Evaluation Dat... | [
"## Model Specification\n- Model: XLM-RoBERTa (base-sized model)\n- Training Data:\n - Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, Norwegian, Urdu, Czech, & Persian corpora (Top 8 Languages)\n- Training Details:\n - Base configurations with a minor adjustment in learning rate (4.5e-5)",
"## Evaluation\n-... | [
"TAGS\n#transformers #pytorch #xlm-roberta #token-classification #tl #dataset-universal_dependencies #autotrain_compatible #endpoints_compatible #region-us \n",
"## Model Specification\n- Model: XLM-RoBERTa (base-sized model)\n- Training Data:\n - Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, Norwegian, Urd... | [
42,
68,
56,
45
] | [
"TAGS\n#transformers #pytorch #xlm-roberta #token-classification #tl #dataset-universal_dependencies #autotrain_compatible #endpoints_compatible #region-us \n## Model Specification\n- Model: XLM-RoBERTa (base-sized model)\n- Training Data:\n - Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, Norwegian, Urdu, Cze... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Citaman/command-r-2-layer](https://huggingf... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-2-layer"]} | Citaman/command-r-1-layer | null | [
"transformers",
"safetensors",
"cohere",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:Citaman/command-r-2-layer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T13:10:16+00:00 | [] | [] | TAGS
#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-2-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-2-layer
### Configuration
The following YAML configuration wa... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* Citaman/command-r-2-layer",
"### Configuration\n\nThe ... | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-2-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge ... | [
59,
17,
4,
17,
26,
16
] | [
"TAGS\n#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-2-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language models created using mergekit.## Merge Details### M... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | JayShah008/gemma-pii-detection-Instruct-Finetune-test | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T13:11:47+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that... | [
46,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed o... |
text-generation | transformers |
# NikolayKozloff/gemma-portuguese-luana-2b-Q8_0-GGUF
This model was converted to GGUF format from [`rhaymison/gemma-portuguese-luana-2b`](https://huggingface.co/rhaymison/gemma-portuguese-luana-2b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the... | {"language": ["pt"], "license": "apache-2.0", "library_name": "transformers", "tags": ["portuguese", "brasil", "gemma", "portugues", "instrucao", "llama-cpp", "gguf-my-repo"], "datasets": ["rhaymison/superset"], "pipeline_tag": "text-generation", "widget": [{"text": "Me explique como funciona um computador.", "example_... | NikolayKozloff/gemma-portuguese-luana-2b-GGUF | null | [
"transformers",
"gguf",
"portuguese",
"brasil",
"gemma",
"portugues",
"instrucao",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"pt",
"dataset:rhaymison/superset",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T13:11:51+00:00 | [] | [
"pt"
] | TAGS
#transformers #gguf #portuguese #brasil #gemma #portugues #instrucao #llama-cpp #gguf-my-repo #text-generation #pt #dataset-rhaymison/superset #license-apache-2.0 #model-index #endpoints_compatible #region-us
|
# NikolayKozloff/gemma-portuguese-luana-2b-Q8_0-GGUF
This model was converted to GGUF format from 'rhaymison/gemma-portuguese-luana-2b' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the C... | [
"# NikolayKozloff/gemma-portuguese-luana-2b-Q8_0-GGUF\nThis model was converted to GGUF format from 'rhaymison/gemma-portuguese-luana-2b' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL... | [
"TAGS\n#transformers #gguf #portuguese #brasil #gemma #portugues #instrucao #llama-cpp #gguf-my-repo #text-generation #pt #dataset-rhaymison/superset #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
"# NikolayKozloff/gemma-portuguese-luana-2b-Q8_0-GGUF\nThis model was converted to GGUF forma... | [
75,
83,
52
] | [
"TAGS\n#transformers #gguf #portuguese #brasil #gemma #portugues #instrucao #llama-cpp #gguf-my-repo #text-generation #pt #dataset-rhaymison/superset #license-apache-2.0 #model-index #endpoints_compatible #region-us \n# NikolayKozloff/gemma-portuguese-luana-2b-Q8_0-GGUF\nThis model was converted to GGUF format from... |
token-classification | transformers |
## Model Specification
- Model: XLM-RoBERTa (base-sized model)
- Training Data:
- Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, Norwegian, Urdu, Czech, Persian, & Faroese corpora (Top 9 Languages)
- Training Details:
- Base configurations with a minor adjustment in learning rate (4.5e-5)
## Evaluation
- Evalu... | {"language": ["tl"], "datasets": ["universal_dependencies"], "metrics": ["f1"], "pipeline_tag": "token-classification"} | iceman2434/xlm-roberta-base-ft-udpos213-top9lang | null | [
"transformers",
"pytorch",
"xlm-roberta",
"token-classification",
"tl",
"dataset:universal_dependencies",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T13:13:05+00:00 | [] | [
"tl"
] | TAGS
#transformers #pytorch #xlm-roberta #token-classification #tl #dataset-universal_dependencies #autotrain_compatible #endpoints_compatible #region-us
|
## Model Specification
- Model: XLM-RoBERTa (base-sized model)
- Training Data:
- Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, Norwegian, Urdu, Czech, Persian, & Faroese corpora (Top 9 Languages)
- Training Details:
- Base configurations with a minor adjustment in learning rate (4.5e-5)
## Evaluation
- Evalu... | [
"## Model Specification\n- Model: XLM-RoBERTa (base-sized model)\n- Training Data:\n - Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, Norwegian, Urdu, Czech, Persian, & Faroese corpora (Top 9 Languages)\n- Training Details:\n - Base configurations with a minor adjustment in learning rate (4.5e-5)",
"## Eval... | [
"TAGS\n#transformers #pytorch #xlm-roberta #token-classification #tl #dataset-universal_dependencies #autotrain_compatible #endpoints_compatible #region-us \n",
"## Model Specification\n- Model: XLM-RoBERTa (base-sized model)\n- Training Data:\n - Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, Norwegian, Urd... | [
42,
71,
56,
45
] | [
"TAGS\n#transformers #pytorch #xlm-roberta #token-classification #tl #dataset-universal_dependencies #autotrain_compatible #endpoints_compatible #region-us \n## Model Specification\n- Model: XLM-RoBERTa (base-sized model)\n- Training Data:\n - Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, Norwegian, Urdu, Cze... |
image-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# msislam123/cifar10
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-pa... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "msislam123/cifar10", "results": []}]} | msislam123/cifar10 | null | [
"transformers",
"tf",
"vit",
"image-classification",
"generated_from_keras_callback",
"base_model:google/vit-base-patch16-224-in21k",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T13:14:46+00:00 | [] | [] | TAGS
#transformers #tf #vit #image-classification #generated_from_keras_callback #base_model-google/vit-base-patch16-224-in21k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| msislam123/cifar10
==================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.4844
* Train Accuracy: 0.5160
* Validation Loss: 1.8361
* Validation Accuracy: 0.3676
* Epoch: 19
Model desc... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'keras.optimizers.schedules', 'class\\_name': 'PolynomialDecay', 'config': {'initial\\_learning\\_rate': 3e-05, 'decay\\_steps': 59840, 'end\\_learn... | [
"TAGS\n#transformers #tf #vit #image-classification #generated_from_keras_callback #base_model-google/vit-base-patch16-224-in21k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimi... | [
65,
221,
5,
38
] | [
"TAGS\n#transformers #tf #vit #image-classification #generated_from_keras_callback #base_model-google/vit-base-patch16-224-in21k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {... |
token-classification | transformers |
## Model Specification
- Model: XLM-RoBERTa (base-sized model)
- Training Data:
- Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, Norwegian, Urdu, Czech, Persian, Faroese, & English corpora (Top 10 Languages)
- Training Details:
- Base configurations with a minor adjustment in learning rate (4.5e-5)
## Evaluati... | {"language": ["tl"], "datasets": ["universal_dependencies"], "metrics": ["f1"], "pipeline_tag": "token-classification"} | iceman2434/xlm-roberta-base-ft-udpos213-top10lang | null | [
"transformers",
"pytorch",
"xlm-roberta",
"token-classification",
"tl",
"dataset:universal_dependencies",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T13:14:48+00:00 | [] | [
"tl"
] | TAGS
#transformers #pytorch #xlm-roberta #token-classification #tl #dataset-universal_dependencies #autotrain_compatible #endpoints_compatible #region-us
|
## Model Specification
- Model: XLM-RoBERTa (base-sized model)
- Training Data:
- Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, Norwegian, Urdu, Czech, Persian, Faroese, & English corpora (Top 10 Languages)
- Training Details:
- Base configurations with a minor adjustment in learning rate (4.5e-5)
## Evaluati... | [
"## Model Specification\n- Model: XLM-RoBERTa (base-sized model)\n- Training Data:\n - Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, Norwegian, Urdu, Czech, Persian, Faroese, & English corpora (Top 10 Languages)\n- Training Details:\n - Base configurations with a minor adjustment in learning rate (4.5e-5)",
... | [
"TAGS\n#transformers #pytorch #xlm-roberta #token-classification #tl #dataset-universal_dependencies #autotrain_compatible #endpoints_compatible #region-us \n",
"## Model Specification\n- Model: XLM-RoBERTa (base-sized model)\n- Training Data:\n - Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, Norwegian, Urd... | [
42,
73,
56,
45
] | [
"TAGS\n#transformers #pytorch #xlm-roberta #token-classification #tl #dataset-universal_dependencies #autotrain_compatible #endpoints_compatible #region-us \n## Model Specification\n- Model: XLM-RoBERTa (base-sized model)\n- Training Data:\n - Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, Norwegian, Urdu, Cze... |
null | null |
# Japanese-Starling-ChatV-7B-RP-GGUF
## 概要
[Aratako/Japanese-Starling-ChatV-7B-RP](https://huggingface.co/Aratako/Japanese-Starling-ChatV-7B-RP)の量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。 | {"language": ["ja"], "license": "apache-2.0", "tags": ["not-for-all-audiences", "nsfw"], "datasets": ["grimulkan/LimaRP-augmented", "Aratako/Rosebleu-1on1-Dialogues-RP"], "base_model": ["Aratako/Japanese-Starling-ChatV-7B-RP"]} | Aratako/Japanese-Starling-ChatV-7B-RP-GGUF | null | [
"gguf",
"not-for-all-audiences",
"nsfw",
"ja",
"dataset:grimulkan/LimaRP-augmented",
"dataset:Aratako/Rosebleu-1on1-Dialogues-RP",
"base_model:Aratako/Japanese-Starling-ChatV-7B-RP",
"license:apache-2.0",
"region:us"
] | null | 2024-04-17T13:15:40+00:00 | [] | [
"ja"
] | TAGS
#gguf #not-for-all-audiences #nsfw #ja #dataset-grimulkan/LimaRP-augmented #dataset-Aratako/Rosebleu-1on1-Dialogues-RP #base_model-Aratako/Japanese-Starling-ChatV-7B-RP #license-apache-2.0 #region-us
|
# Japanese-Starling-ChatV-7B-RP-GGUF
## 概要
Aratako/Japanese-Starling-ChatV-7B-RPの量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。 | [
"# Japanese-Starling-ChatV-7B-RP-GGUF",
"## 概要\nAratako/Japanese-Starling-ChatV-7B-RPの量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。"
] | [
"TAGS\n#gguf #not-for-all-audiences #nsfw #ja #dataset-grimulkan/LimaRP-augmented #dataset-Aratako/Rosebleu-1on1-Dialogues-RP #base_model-Aratako/Japanese-Starling-ChatV-7B-RP #license-apache-2.0 #region-us \n",
"# Japanese-Starling-ChatV-7B-RP-GGUF",
"## 概要\nAratako/Japanese-Starling-ChatV-7B-RPの量子化済みGGUF版です。ラ... | [
85,
18,
55
] | [
"TAGS\n#gguf #not-for-all-audiences #nsfw #ja #dataset-grimulkan/LimaRP-augmented #dataset-Aratako/Rosebleu-1on1-Dialogues-RP #base_model-Aratako/Japanese-Starling-ChatV-7B-RP #license-apache-2.0 #region-us \n# Japanese-Starling-ChatV-7B-RP-GGUF## 概要\nAratako/Japanese-Starling-ChatV-7B-RPの量子化済みGGUF版です。ライセンス等詳細は元モデル... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | sin66x/wav2vec2-large-xlsr-53-demo-colab | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T13:15:53+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- ... | [
22,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optiona... |
feature-extraction | transformers | Mistral 7B finetuned on OpenHermes-2.5 to test open llm leaderboard metrics
1 epoch
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) | {"language": ["en"], "license": "apache-2.0", "tags": ["axolotl"], "datasets": ["teknium/OpenHermes-2.5"]} | thepowefuldeez/mistral-openhermes-sft | null | [
"transformers",
"safetensors",
"mistral",
"feature-extraction",
"axolotl",
"en",
"dataset:teknium/OpenHermes-2.5",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T13:16:24+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #feature-extraction #axolotl #en #dataset-teknium/OpenHermes-2.5 #license-apache-2.0 #endpoints_compatible #text-generation-inference #region-us
| Mistral 7B finetuned on OpenHermes-2.5 to test open llm leaderboard metrics
1 epoch
<img src="URL alt="Built with Axolotl" width="200" height="32"/> | [] | [
"TAGS\n#transformers #safetensors #mistral #feature-extraction #axolotl #en #dataset-teknium/OpenHermes-2.5 #license-apache-2.0 #endpoints_compatible #text-generation-inference #region-us \n"
] | [
58
] | [
"TAGS\n#transformers #safetensors #mistral #feature-extraction #axolotl #en #dataset-teknium/OpenHermes-2.5 #license-apache-2.0 #endpoints_compatible #text-generation-inference #region-us \n"
] |
text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | presencesw/mt5-base-vinli_3_label-cross | null | [
"transformers",
"safetensors",
"mt5",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-17T13:17:56+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mt5 #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mt5 #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been push... | [
44,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mt5 #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. Thi... |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-large-english-TG
This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-larg... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_1_0"], "metrics": ["wer"], "base_model": "openai/whisper-large", "model-index": [{"name": "whisper-large-english-TG", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recog... | pranjali06/whisper-large-english-TG | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"en",
"dataset:common_voice_1_0",
"base_model:openai/whisper-large",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-17T13:19:53+00:00 | [] | [
"en"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #en #dataset-common_voice_1_0 #base_model-openai/whisper-large #license-apache-2.0 #model-index #endpoints_compatible #region-us
| whisper-large-english-TG
========================
This model is a fine-tuned version of openai/whisper-large on the common\_voice dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4494
* Wer: 18.0005
Model description
-----------------
More information needed
Intended uses & limitati... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #en #dataset-common_voice_1_0 #base_model-openai/whisper-large #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were ... | [
69,
149,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #en #dataset-common_voice_1_0 #base_model-openai/whisper-large #license-apache-2.0 #model-index #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used d... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.