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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/DreadPoor/Chimera-7B-TIES
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "DreadPoor/Siren-7B-slerp", "S-miguel/The-Trinity-Coder-7B"], "base_model": "DreadPoor/Chimera-7B-TIES", "quantized_by": "mradermacher"} | mradermacher/Chimera-7B-TIES-GGUF | null | [
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"en",
"base_model:DreadPoor/Chimera-7B-TIES",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T07:05:14+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #DreadPoor/Siren-7B-slerp #S-miguel/The-Trinity-Coder-7B #en #base_model-DreadPoor/Chimera-7B-TIES #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/PotatoOff/Michel-13B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a w... | {"language": ["en"], "license": "agpl-3.0", "library_name": "transformers", "base_model": "PotatoOff/Michel-13B", "quantized_by": "mradermacher"} | mradermacher/Michel-13B-GGUF | null | [
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"en"
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#transformers #gguf #en #base_model-PotatoOff/Michel-13B #license-agpl-3.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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. -->
# fine_tuned_bert
This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1", "precision", "recall"], "base_model": "google-bert/bert-base-multilingual-cased", "model-index": [{"name": "fine_tuned_bert", "results": []}]} | morten-j/fine_tuned_bert | null | [
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"base_model:google-bert/bert-base-multilingual-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T07:07:32+00:00 | [] | [] | TAGS
#transformers #tensorboard #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
| fine\_tuned\_bert
=================
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1299
* F1: 0.8444
* F5: 0.8373
* Precision: 0.8636
* Recall: 0.8261
Model description
-----------------
Mor... | [
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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": []} | relu-ntnu/bart-large-xsum_v2_trained_on_10 | null | [
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|
# 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.
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- Funded by [optional]:
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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. -->
# selfbiorag-7b-wo-kqa_silver_wogold-sft
This model is a fine-tuned version of [dmis-lab/selfbiorag_7b](https://huggingface.co/dmi... | {"tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "dmis-lab/selfbiorag_7b", "model-index": [{"name": "selfbiorag-7b-wo-kqa_silver_wogold-sft", "results": []}]} | Minbyul/selfbiorag-7b-wo-kqa_silver_wogold-sft | null | [
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| selfbiorag-7b-wo-kqa\_silver\_wogold-sft
========================================
This model is a fine-tuned version of dmis-lab/selfbiorag\_7b on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1482
Model description
-----------------
More informat... | [
"### 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: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n*... | [
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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. -->
# Mistral-7B-v0.1-Instruct-sft-en-de
A full finetune of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0... | {"tags": ["alignment-handbook", "generated_from_trainer"], "datasets": ["maxidl/instruct-en-de"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "Mistral-7B-v0.1-Instruct-sft-en-de", "results": []}]} | maxidl/Mistral-7B-v0.1-Instruct-sft-en-de | null | [
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... | null | 2024-04-16T07:07:56+00:00 | [] | [] | TAGS
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| Mistral-7B-v0.1-Instruct-sft-en-de
==================================
A full finetune of mistralai/Mistral-7B-v0.1 using a mix of English and German instruction data.
Dataset
-------
### Training hyperparameters
The following hyperparameters were used during training:
* learning\_rate: 1e-05
* train\_batch\_... | [
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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": ["llama-factory"]} | qsy71/medical_llama2_7b | null | [
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|
# 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:
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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": []} | relu-ntnu/bart-large-xsum_v2_trained_on_25 | null | [
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|
# 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.
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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": []} | relu-ntnu/bart-large-xsum_v2_trained_on_50 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# PolizzeDonut-CR-Cluster1di8-ConPre-3Epochs
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5epochs-... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-CR-Cluster1di8-ConPre-3Epochs", "results": []}]} | tedad09/PolizzeDonut-CR-Cluster1di8-ConPre-3Epochs | null | [
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"license:mit",
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|
# PolizzeDonut-CR-Cluster1di8-ConPre-3Epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informat... | [
"# PolizzeDonut-CR-Cluster1di8-ConPre-3Epochs\n\nThis model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.",
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"# PolizzeDonut-CR-Cluster1di8-ConPre-3Epochs\n\nThis model is a fine-tuned versi... | [
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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. -->
# results
This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelkada/falcon-7b-sharde... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "ybelkada/falcon-7b-sharded-bf16", "model-index": [{"name": "results", "results": []}]} | NeroAce/results | null | [
"peft",
"tensorboard",
"safetensors",
"falcon",
"trl",
"sft",
"generated_from_trainer",
"custom_code",
"base_model:ybelkada/falcon-7b-sharded-bf16",
"region:us"
] | null | 2024-04-16T07:11:43+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #falcon #trl #sft #generated_from_trainer #custom_code #base_model-ybelkada/falcon-7b-sharded-bf16 #region-us
|
# results
This model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 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 hyperparameter... | [
"# results\n\nThis model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 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#peft #tensorboard #safetensors #falcon #trl #sft #generated_from_trainer #custom_code #base_model-ybelkada/falcon-7b-sharded-bf16 #region-us \n",
"# results\n\nThis model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 on an unknown dataset.",
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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. -->
# dpo_helpfulhelpful_gpt3_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05
This model is a fine-tuned version ... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "dpo_helpfulhelpful_gpt3_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05", "results": []}]} | Holarissun/dpo_helpfulhelpful_gpt3_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05 | null | [
"peft",
"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T07:11:54+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# dpo_helpfulhelpful_gpt3_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation da... | [
"# dpo_helpfulhelpful_gpt3_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Traini... | [
"TAGS\n#peft #safetensors #trl #dpo #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n",
"# dpo_helpfulhelpful_gpt3_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dat... | [
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"TAGS\n#peft #safetensors #trl #dpo #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n# dpo_helpfulhelpful_gpt3_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.#... |
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": []} | relu-ntnu/bart-large-xsum_v2_trained_on_100 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T07:13:54+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #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 #safetensors #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- Devel... | [
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token-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. -->
# esm2_t30_150M_UR50D-finetuned-secondary-structure
This model is a fine-tuned version of [facebook/esm2_t30_150M_UR50D](https://h... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "recall"], "base_model": "facebook/esm2_t30_150M_UR50D", "model-index": [{"name": "esm2_t30_150M_UR50D-finetuned-secondary-structure", "results": []}]} | theViolet/esm2_t30_150M_UR50D-finetuned-secondary-structure | null | [
"transformers",
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"esm",
"token-classification",
"generated_from_trainer",
"base_model:facebook/esm2_t30_150M_UR50D",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T07:14:20+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #esm #token-classification #generated_from_trainer #base_model-facebook/esm2_t30_150M_UR50D #license-mit #autotrain_compatible #endpoints_compatible #region-us
| esm2\_t30\_150M\_UR50D-finetuned-secondary-structure
====================================================
This model is a fine-tuned version of facebook/esm2\_t30\_150M\_UR50D on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0924
* Accuracy: 0.9829
* Mcc: 0.3696
* Recall: 0.30... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\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: 5",
"### Trainin... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* lea... | [
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"TAGS\n#transformers #tensorboard #safetensors #esm #token-classification #generated_from_trainer #base_model-facebook/esm2_t30_150M_UR50D #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\... |
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. -->
# bert-base-cased-rocstories
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-base-cased-rocstories", "results": []}]} | KeiHeityuu/bert-base-cased-rocstories | null | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:bert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T07:14:49+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-base-cased-rocstories
==========================
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: 0.4850
* Accuracy: 0.9023
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: 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: 4",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-cased #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* learning\... | [
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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. -->
# poly-a2
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the min... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["minds14"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "poly-a2", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "minds14", "ty... | Hemg/poly-a2 | null | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:minds14",
"base_model:facebook/wav2vec2-base",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T07:15:00+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-minds14 #base_model-facebook/wav2vec2-base #license-apache-2.0 #model-index #endpoints_compatible #region-us
| poly-a2
=======
This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset.
It achieves the following results on the evaluation set:
* Loss: nan
* Wer: 1.0
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inform... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
"TAGS\n#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-minds14 #base_model-facebook/wav2vec2-base #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
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text-generation | transformers | ---
## How to Get Started with the Model
Use the code below to get started with the model.
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("linh5nb/Llama-2-7b-chat-finetune_covid")
tokenizer = AutoTokenizer.from_pretrained("linh5nb/Llama-2-7b-chat-finetune... | {} | linh5nb/Llama-2-7b-chat-finetune_covid | null | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T07:16:18+00:00 | [] | [] | TAGS
#transformers #pytorch #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ---
## How to Get Started with the Model
Use the code below to get started with the model.
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("linh5nb/Llama-2-7b-chat-finetune_covid")
tokenizer = AutoTokenizer.from_pretrained("linh5nb/Llama-2-7b-chat-finetune... | [
"## How to Get Started with the Model\n\nUse the code below to get started with the model.\n\nfrom transformers import AutoModelForCausalLM, AutoTokenizer\n\nmodel = AutoModelForCausalLM.from_pretrained(\"linh5nb/Llama-2-7b-chat-finetune_covid\")\n\ntokenizer = AutoTokenizer.from_pretrained(\"linh5nb/Llama-2-7b-cha... | [
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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. -->
# zephyr-support-chatbot
This model is a fine-tuned version of [TheBloke/zephyr-7B-alpha-GPTQ](https://huggingface.co/TheBloke/zep... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TheBloke/zephyr-7B-alpha-GPTQ", "model-index": [{"name": "zephyr-support-chatbot", "results": []}]} | Rasi1610/zephyr-support-chatbot | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:TheBloke/zephyr-7B-alpha-GPTQ",
"license:mit",
"region:us"
] | null | 2024-04-16T07:16:23+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-TheBloke/zephyr-7B-alpha-GPTQ #license-mit #region-us
|
# zephyr-support-chatbot
This model is a fine-tuned version of TheBloke/zephyr-7B-alpha-GPTQ 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 hyp... | [
"# zephyr-support-chatbot\n\nThis model is a fine-tuned version of TheBloke/zephyr-7B-alpha-GPTQ 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 p... | [
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"# zephyr-support-chatbot\n\nThis model is a fine-tuned version of TheBloke/zephyr-7B-alpha-GPTQ on the None dataset.",
"## Model description\n\nMore information needed",
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feature-extraction | 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": []} | Majidni/openchat_model_AIM | null | [
"transformers",
"safetensors",
"mistral",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T07:16:27+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #feature-extraction #arxiv-1910.09700 #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",
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"TAGS\n#transformers #safetensors #mistral #feature-extraction #arxiv-1910.09700 #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
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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. -->
# PolizzeDonut-CR-Cluster1di7-ConPre-3Epochs
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5epochs-... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-CR-Cluster1di7-ConPre-3Epochs", "results": []}]} | tedad09/PolizzeDonut-CR-Cluster1di7-ConPre-3Epochs | null | [
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"vision-encoder-decoder",
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"license:mit",
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|
# PolizzeDonut-CR-Cluster1di7-ConPre-3Epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informat... | [
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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. -->
# GUE_EMP_H3K14ac-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M](... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_EMP_H3K14ac-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K14ac-seqsight_16384_512_22M-L32_all | null | [
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| GUE\_EMP\_H3K14ac-seqsight\_16384\_512\_22M-L32\_all
====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_EMP\_H3K14ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7720
* F1... | [
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null | transformers |
# Model Card for Starcoder2-3B Fine-Tuned with QLORA on Solidity Dataset
## Model Details
### Model Description
This model has been fine-tuned using QLORA specifically for generating Solidity smart contracts from natural language instructions.
- **Developed by:** @yoniebans
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| Model Card for Starcoder2-3B Fine-Tuned with QLORA on Solidity Dataset
======================================================================
Model Details
-------------
### Model Description
This model has been fine-tuned using QLORA specifically for generating Solidity smart contracts from natural language inst... | [
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null | transformers |
# Uploaded model
- **Developed by:** NavyaAI
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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text-classification | transformers |
# Model Card for Model ID
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GUE_EMP_H3K4me2-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M](... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_EMP_H3K4me2-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me2-seqsight_16384_512_22M-L32_all | null | [
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| GUE\_EMP\_H3K4me2-seqsight\_16384\_512\_22M-L32\_all
====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7274
* F1... | [
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null | transformers |
# Uploaded model
- **Developed by:** NavyaAI
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/tinyllama-bnb-4bit"} | NavyaAI/FinBot-TinyLLama-LoRA-GGUF-16bit | null | [
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# Uploaded model
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- License: apache-2.0
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multiple-choice | 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. -->
# bert-base-uncased-finetuned-swag
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-unca... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert-base-uncased-finetuned-swag", "results": []}]} | sahithya20/bert-base-uncased-finetuned-swag | null | [
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| bert-base-uncased-finetuned-swag
================================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
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* Loss: 1.0250
* Accuracy: 0.7360
Model description
-----------------
More information needed
Intended uses ... | [
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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. -->
# PolizzeDonut-CR-Cluster2di7-ConPre-3Epochs
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5epochs-... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-CR-Cluster2di7-ConPre-3Epochs", "results": []}]} | tedad09/PolizzeDonut-CR-Cluster2di7-ConPre-3Epochs | null | [
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|
# PolizzeDonut-CR-Cluster2di7-ConPre-3Epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informat... | [
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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. -->
# GUE_EMP_H3K9ac-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M](h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_EMP_H3K9ac-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K9ac-seqsight_16384_512_22M-L32_all | null | [
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| GUE\_EMP\_H3K9ac-seqsight\_16384\_512\_22M-L32\_all
===================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_EMP\_H3K9ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6551
* F1 Sc... | [
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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-intent-classifier-final-distilbert
This model is a fine-tuned version of [distilbert-base-multilingual-cased](https... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "multilingual-intent-classifier-final-distilbert", "results": []}]} | Mukalingam0813/multilingual-intent-classifier-final-distilbert | null | [
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| multilingual-intent-classifier-final-distilbert
===============================================
This model is a fine-tuned version of distilbert-base-multilingual-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1309
* Accuracy: 0.9777
Model description
-------------... | [
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feature-extraction | 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": []} | darrel999/Qwen-7B-Chat_ZD | null | [
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null | transformers |
This model has been pushed to the Hub using ****:
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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": []} | yashas06/Logs | null | [
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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": []} | relu-ntnu/bart-large-xsum_v2_trained_on_500 | null | [
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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": []} | ferrazzipietro/Llama-2-7b-chat-hf_adapters_en.layer1_8_torch.bfloat16_16_32_0.01_2_0.0002 | null | [
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|
# Model Card for Model ID
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null | transformers |
# Uploaded model
- **Developed by:** NavyaAI
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/tinyllama-bnb-4bit"} | NavyaAI/FinBot-TinyLLama-LoRA-GGUF-q4km | null | [
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|
# Uploaded model
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<img src="URL width="200"/>
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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": []} | HenryCai1129/LlamaAdapter-llama2-happy-1000-temp-new | null | [
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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": []} | luuluumando/new_subnet_6 | null | [
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text-generation | transformers |
# model_merge
model_merge is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [google/flan-t5-base](https://huggingface.co/google/flan-t5-base)
* [knowledgator/IUPAC2SMILES-canonical-base](https://huggingface.co/knowledgator... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "google/flan-t5-base", "knowledgator/IUPAC2SMILES-canonical-base"], "base_model": ["google/flan-t5-base", "knowledgator/IUPAC2SMILES-canonical-base"]} | nagayama0706/model_merge | null | [
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"base_model:knowledgator/IUPAC2SMILES-canonical-base",
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"autotrain_compa... | null | 2024-04-16T07:34:12+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #google/flan-t5-base #knowledgator/IUPAC2SMILES-canonical-base #base_model-google/flan-t5-base #base_model-knowledgator/IUPAC2SMILES-canonical-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-in... |
# model_merge
model_merge is a merge of the following models using LazyMergekit:
* google/flan-t5-base
* knowledgator/IUPAC2SMILES-canonical-base
## Configuration
## Usage
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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. -->
# GUE_EMP_H3K4me3-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M](... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_EMP_H3K4me3-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me3-seqsight_16384_512_22M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_16384_512_22M",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_EMP\_H3K4me3-seqsight\_16384\_512\_22M-L32\_all
====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8204
* F1... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Textual inversion text2image fine-tuning - nemod/textual_inversion_cat_toy_sdxl_paper_batch1
These are textual inversion... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "diffusers-training", "textual_inversion"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "inference": true} | nemod/textual_inversion_cat_toy_sdxl_paper_batch1 | null | [
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"diffusers:StableDiffus... | null | 2024-04-16T07:37:45+00:00 | [] | [] | TAGS
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|
# Textual inversion text2image fine-tuning - nemod/textual_inversion_cat_toy_sdxl_paper_batch1
These are textual inversion adaption weights for stabilityai/stable-diffusion-xl-base-1.0. You can find some example images in the following.
## Intended uses & limitations
#### How to use
#### Limitations and bi... | [
"# Textual inversion text2image fine-tuning - nemod/textual_inversion_cat_toy_sdxl_paper_batch1\nThese are textual inversion adaption weights for stabilityai/stable-diffusion-xl-base-1.0. You can find some example images in the following.",
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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-krillin11 | null | [
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#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.
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- Funded by [optional]:
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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. -->
# fine_tuned_roberta
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-rob... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1", "precision", "recall"], "base_model": "FacebookAI/xlm-roberta-base", "model-index": [{"name": "fine_tuned_roberta", "results": []}]} | mehdie/fine_tuned_XLM-roberta | null | [
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] | null | 2024-04-16T07:38:31+00:00 | [] | [] | TAGS
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| fine\_tuned\_roberta
====================
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3144
* F1: 0.44
* F5: 0.5013
* Precision: 0.3333
* Recall: 0.6471
Model description
-----------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 256\n* eval\\_batch\\_size: 256\n* seed: 42\n* distributed\\_type: multi-GPU\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear... | [
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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. -->
# distilbert-base-cased-rocstories
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-cased", "model-index": [{"name": "distilbert-base-cased-rocstories", "results": []}]} | KeiHeityuu/distilbert-base-cased-rocstories | null | [
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"license:apache-2.0",
"autotrain_compatible",
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] | null | 2024-04-16T07:38:42+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-cased-rocstories
================================
This model is a fine-tuned version of distilbert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5423
* Accuracy: 0.8064
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\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: 4",
"### Traini... | [
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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. -->
# ruBert-base-sberquad-0.01-len_4-filtered-v2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.c... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.01-len_4-filtered-v2", "results": []}]} | Shalazary/ruBert-base-sberquad-0.01-len_4-filtered-v2 | null | [
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"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:ai-forever/ruBert-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T07:39:15+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.01-len_4-filtered-v2
This model is a fine-tuned version of ai-forever/ruBert-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
... | [
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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. -->
# ruBert-base-sberquad-0.005-len_4-filtered-negative
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggin... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.005-len_4-filtered-negative", "results": []}]} | Shalazary/ruBert-base-sberquad-0.005-len_4-filtered-negative | null | [
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"generated_from_trainer",
"base_model:ai-forever/ruBert-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T07:41:29+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.005-len_4-filtered-negative
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
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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": []} | bluedoumi/llama-2-7b-chat-hkcode-kor | null | [
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# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- 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": []} | relu-ntnu/bart-large-cnn_v2_trained_on_10 | null | [
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text-to-image | diffusers |
# Textual inversion text2image fine-tuning - EmXCaesar/textual_inversion_airplane
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
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|
# Textual inversion text2image fine-tuning - EmXCaesar/textual_inversion_airplane
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
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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. -->
# wev2vec-reg-ben
This model is a fine-tuned version of [Sameen53/cv_bn_bestModel_1](https://huggingface.co/Sameen53/cv_bn_bestMod... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "wev2vec-reg-ben", "results": []}]} | Nasiat/wev2vec-reg-ben | null | [
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#transformers #pytorch #wav2vec2 #automatic-speech-recognition #generated_from_trainer #endpoints_compatible #region-us
| wev2vec-reg-ben
===============
This model is a fine-tuned version of Sameen53/cv\_bn\_bestModel\_1 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2706
* Wer: 0.3
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
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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": []} | relu-ntnu/bart-large-cnn_v2_trained_on_25 | null | [
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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. -->
# PolizzeDonut-CR-Cluster3di7-ConPre-3Epochs
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5epochs-... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-CR-Cluster3di7-ConPre-3Epochs", "results": []}]} | tedad09/PolizzeDonut-CR-Cluster3di7-ConPre-3Epochs | null | [
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|
# PolizzeDonut-CR-Cluster3di7-ConPre-3Epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informat... | [
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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. -->
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null | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | cheungra/ocularaid-diffusion | null | [
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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": []} | relu-ntnu/bart-large-cnn_v2_trained_on_50 | null | [
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text-generation | transformers |
# model_merge2
model_merge2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [google/flan-t5-base](https://huggingface.co/google/flan-t5-base)
* [google/mt5-base](https://huggingface.co/google/mt5-base)
## 🧩 Configurati... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "google/flan-t5-base", "google/mt5-base"], "base_model": ["google/flan-t5-base", "google/mt5-base"]} | nagayama0706/model_merge2 | null | [
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|
# model_merge2
model_merge2 is a merge of the following models using LazyMergekit:
* google/flan-t5-base
* google/mt5-base
## Configuration
## Usage
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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 Small ATC - ATCText
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-s... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mShiry/ATC_combined"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small ATC - ATCText", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech... | san2003m/whisper-small-atc | null | [
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| Whisper Small ATC - ATCText
===========================
This model is a fine-tuned version of openai/whisper-small on the ATC dataset.
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* Wer: 10.6129
Model description
-----------------
More information needed
Intended uses & limitations
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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text-to-image | diffusers |
# BRIA-2.3-ControlNet-Background-Generation, Model Card
BRIA 2.3 ControlNet-Background Generation, trained on the foundation of [BRIA 2.3 Text-to-Image](https://huggingface.co/briaai/BRIA-2.3), enables the generation of high-quality images guided by a textual prompt and the extracted background mask estimation from... | {"license": "other", "tags": ["text-to-image", "controlnet model", "legal liability", "commercial use"], "license_name": "bria-2.3", "license_link": "https://bria.ai/bria-huggingface-model-license-agreement/", "inference": false, "extra_gated_prompt": "This model weights by BRIA AI can be obtained after a commercial li... | briaai/BRIA-2.3-ControlNet-BG-Gen | null | [
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# BRIA-2.3-ControlNet-Background-Generation, Model Card
BRIA 2.3 ControlNet-Background Generation, trained on the foundation of BRIA 2.3 Text-to-Image, enables the generation of high-quality images guided by a textual prompt and the extracted background mask estimation from an input image. This allows for the creat... | [
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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. -->
# ft_wav2vec2_base_six_1000
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "ft_wav2vec2_base_six_1000", "results": []}]} | ImanNalia/ft_wav2vec2_base_six_1000 | null | [
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| ft\_wav2vec2\_base\_six\_1000
=============================
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4818
* Wer: 40.2628
* Cer: 18.6678
Model description
-----------------
More information needed
Intend... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 32\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* lr\\_scheduler\\_warmup\\_step... | [
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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. -->
# Dist5-small-laShoot
This model is a fine-tuned version of DisT5 on an unknown dataset.
It achieves the following results on the ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-t5/t5-small", "model-index": [{"name": "Dist5-small-laShoot", "results": []}]} | Piyyussh/Dist5-small-laShoot | null | [
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|
# Dist5-small-laShoot
This model is a fine-tuned version of DisT5 on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6627
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information ... | [
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feature-extraction | transformers | # pet-shop-1000-64-16-BAAI_bge-small-en-v1.5-1000_9062874564
## Model Description
pet-shop-1000-64-16-BAAI_bge-small-en-v1.5-1000_9062874564 is a fine-tuned version of BAAI/bge-small-en-v1.5 designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language process... | {} | florianhoenicke/pet-shop-1000-64-16-BAAI_bge-small-en-v1.5-1000_9062874564 | null | [
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"bert",
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#transformers #safetensors #bert #feature-extraction #endpoints_compatible #region-us
| # pet-shop-1000-64-16-BAAI_bge-small-en-v1.5-1000_9062874564
## Model Description
pet-shop-1000-64-16-BAAI_bge-small-en-v1.5-1000_9062874564 is a fine-tuned version of BAAI/bge-small-en-v1.5 designed for a specific domain.
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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": []} | relu-ntnu/bart-large-cnn_v2_trained_on_100 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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video-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. -->
# timesformer-base-finetuned-k400-finetuned-ElderReact-anger-balanced
This model is a fine-tuned version of [facebook/timesformer-... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/timesformer-base-finetuned-k400", "model-index": [{"name": "timesformer-base-finetuned-k400-finetuned-ElderReact-anger-balanced", "results": []}]} | minhah/timesformer-base-finetuned-k400-finetuned-ElderReact-anger-balanced | null | [
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| timesformer-base-finetuned-k400-finetuned-ElderReact-anger-balanced
===================================================================
This model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8048
* Accu... | [
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text-generation | transformers |
# Mixtral-8x7B-Instruct-v0.1-japanese-alpha
Mixtral-8x7B-Instruct-v0.1-japanese-alphaは[Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)をベースに日本語の語彙拡張継続事前学習を実施した学習途中のモデルです。
[ABEJAのテックブログ](https://tech-blog.abeja.asia/entry/abeja-nedo-project-part1-202404)にて評価を実施した途中結果モデルとして公開して... | {"language": ["ja"], "license": "apache-2.0", "widget": [{"text": "\u4eba\u3068AI\u304c\u5354\u8abf\u3059\u308b\u305f\u3081\u306b\u306f\u3001"}]} | abeja/Mixtral-8x7B-Instruct-v0.1-japanese-alpha | null | [
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|
# Mixtral-8x7B-Instruct-v0.1-japanese-alpha
Mixtral-8x7B-Instruct-v0.1-japanese-alphaはMixtral-8x7B-Instruct-v0.1をベースに日本語の語彙拡張継続事前学習を実施した学習途中のモデルです。
ABEJAのテックブログにて評価を実施した途中結果モデルとして公開しています。
学習を実施したMetagton-LMのレポジトリはこちらです。
# 使い方
# 開発者
- Keisuke Fujimoto
- Kentaro Nakanishi
- Kyo Hattori
- Shinya Otani
- Shogo Mu... | [
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text-generation | transformers |
# Mixtral-8x7B-Instruct-v0.1-japanese-alpha-merged
Mixtral-8x7B-Instruct-v0.1-japanese-alpha-mergedは[Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)をベースに日本語の語彙拡張継続事前学習を実施した[学習途中のモデル](https://huggingface.co/abeja/Mixtral-8x7B-Instruct-v0.1-japanese-alpha)に対して、差分マージを実施したモデルです。 ... | {"language": ["ja"], "license": "apache-2.0", "widget": [{"text": "\u4eba\u3068AI\u304c\u5354\u8abf\u3059\u308b\u305f\u3081\u306b\u306f\u3001"}]} | abeja/Mixtral-8x7B-Instruct-v0.1-japanese-alpha-merged | null | [
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|
# Mixtral-8x7B-Instruct-v0.1-japanese-alpha-merged
Mixtral-8x7B-Instruct-v0.1-japanese-alpha-mergedはMixtral-8x7B-Instruct-v0.1をベースに日本語の語彙拡張継続事前学習を実施した学習途中のモデルに対して、差分マージを実施したモデルです。
ABEJAのテックブログにて評価を実施した途中結果モデルとして公開しています。
学習を実施したMetagton-LMのレポジトリはこちらです。
# 使い方
# 開発者
- Keisuke Fujimoto
- Kentaro Nakanishi
- Kyo H... | [
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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. -->
# distilbert-base-uncased-finetuned-emotions
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.c... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotions", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "data... | fibleep/distilbert-base-uncased-finetuned-emotions | null | [
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| distilbert-base-uncased-finetuned-emotions
==========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2191
* Accuracy: 0.924
* F1: 0.9242
Model description
-----------------
M... | [
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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. -->
# GUE_EMP_H4-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_EMP_H4-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4-seqsight_16384_512_22M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_EMP\_H4-seqsight\_16384\_512\_22M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_EMP\_H4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9887
* F1 Score: 0.7491
... | [
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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. -->
# wav2vecvanilla
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base-960h", "model-index": [{"name": "wav2vecvanilla", "results": []}]} | Chijioke-Mgbahurike/wav2vecvanilla | null | [
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"license:apache-2.0",
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| wav2vecvanilla
==============
This model is a fine-tuned version of facebook/wav2vec2-base-960h on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8028
* Wer: 0.3041
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
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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. -->
# deberta-v3-base-rocstories
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/de... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/deberta-v3-base", "model-index": [{"name": "deberta-v3-base-rocstories", "results": []}]} | KeiHeityuu/deberta-v3-base-rocstories | null | [
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"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T07:57:30+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #deberta-v2 #text-classification #generated_from_trainer #base_model-microsoft/deberta-v3-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| deberta-v3-base-rocstories
==========================
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0918
* Accuracy: 0.9793
Model description
-----------------
More information needed
Intended uses & li... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\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: 4",
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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": []} | relu-ntnu/bart-large-cnn_v2_trained_on_250 | null | [
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|
# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# GUE_EMP_H3-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_EMP_H3-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3-seqsight_16384_512_22M-L32_all | null | [
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"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_16384_512_22M",
"region:us"
] | null | 2024-04-16T08:00:46+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_EMP\_H3-seqsight\_16384\_512\_22M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_EMP\_H3 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1420
* F1 Score: 0.7321
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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token-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. -->
# bert-finetuned-pos
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": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-pos", "results": []}]} | YanisGomes/bert-finetuned-pos | null | [
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"region:us"
] | null | 2024-04-16T08:01:05+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #token-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-finetuned-pos
==================
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: 0.1795
* Precision: 0.9386
* Recall: 0.9377
* F1: 0.9382
* Accuracy: 0.9579
Model description
-----------------
More information nee... | [
"### 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",
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automatic-speech-recognition | 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": []} | mindvu/wav2vec2-xlsr-300m-malay | null | [
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"automatic-speech-recognition",
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"1910.09700"
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#transformers #safetensors #wav2vec2 #automatic-speech-recognition #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... | [
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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_hh_shp4_dpo5
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_hh_shp4_dpo5", "results": []}]} | guoyu-zhang/model_hh_shp4_dpo5 | null | [
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"trl",
"dpo",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-16T08:01:35+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_hh\_shp4\_dpo5
=====================
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: 2.7112
* Rewards/chosen: -9.5668
* Rewards/rejected: -9.8462
* Rewards/accuracies: 0.5400
* Rewards/margins: 0.2794
... | [
"### 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=... | [
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token-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. -->
# chemical-ner-bert-large-uncased-3
This model is a fine-tuned version of [google-bert/bert-large-uncased](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-large-uncased", "model-index": [{"name": "chemical-ner-bert-large-uncased-3", "results": []}]} | shubhamgantayat/chemical-ner-bert-large-uncased-3 | null | [
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"autotrain_compatible",
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"region:us"
] | null | 2024-04-16T08:02:18+00:00 | [] | [] | TAGS
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| chemical-ner-bert-large-uncased-3
=================================
This model is a fine-tuned version of google-bert/bert-large-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0524
Model description
-----------------
More information needed
Intended uses & limi... | [
"### 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: 4\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\n* mixed\\_precis... | [
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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. -->
# PolizzeDonut-CR-Cluster4di7-ConPre-3Epochs
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5epochs-... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-CR-Cluster4di7-ConPre-3Epochs", "results": []}]} | tedad09/PolizzeDonut-CR-Cluster4di7-ConPre-3Epochs | null | [
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"base_model:tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T08:04:30+00:00 | [] | [] | TAGS
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|
# PolizzeDonut-CR-Cluster4di7-ConPre-3Epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informat... | [
"# PolizzeDonut-CR-Cluster4di7-ConPre-3Epochs\n\nThis model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation... | [
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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. -->
# bartpho-word-large-v3
This model is a fine-tuned version of [vinai/bartpho-word](https://huggingface.co/vinai/bartpho-word) on t... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "vinai/bartpho-word", "model-index": [{"name": "bartpho-word-large-v3", "results": []}]} | long292/bartpho-word-large-v3 | null | [
"transformers",
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"safetensors",
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"text2text-generation",
"generated_from_trainer",
"base_model:vinai/bartpho-word",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T08:07:03+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #mbart #text2text-generation #generated_from_trainer #base_model-vinai/bartpho-word #autotrain_compatible #endpoints_compatible #region-us
| bartpho-word-large-v3
=====================
This model is a fine-tuned version of vinai/bartpho-word on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0601
* Bleu: 20.961
* Gen Len: 17.2576
Model description
-----------------
More information needed
Intended uses & limita... | [
"### 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... | [
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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. -->
# distilroberta-pre-finetuned-cybersecurity_READMEs
This model is a fine-tuned version of [distilroberta-base](https://huggingface... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "distilroberta-pre-finetuned-cybersecurity_READMEs", "results": []}]} | Marcell322/distilroberta-pre-finetuned-cybersecurity_READMEs | null | [
"transformers",
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"safetensors",
"roberta",
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"base_model:distilroberta-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #roberta #fill-mask #generated_from_trainer #base_model-distilroberta-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilroberta-pre-finetuned-cybersecurity\_READMEs
==================================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8817
Model description
-----------------
More information neede... | [
"### 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: 5",
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null | null |
<!-- 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. -->
# V0415MA1plus
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datas... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0415MA1plus", "results": []}]} | Litzy619/V0415MA1plus | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-16T08:09:33+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0415MA1plus
============
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0713
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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null | null | Fizural ট্যাবলেট কি?
Fizural দাম হল একটি বিপ্লবী হেমোরয়েড চিকিত্সা যা একটি শক্তিশালী সম্পূরক আকারে আবদ্ধ। তাদের প্রশান্তিদায়ক এবং নিরাময় বৈশিষ্ট্যগুলির জন্য বিখ্যাত প্রাকৃতিক উপাদানগুলির মিশ্রণে তৈরি, Fizural পর্যালোচনা ব্যথা, চুলকানি এবং প্রদাহ থেকে মুক্তি দেওয়ার জন্য হেমোরয়েডের মূল কারণগুলিকে লক্ষ্য করে। মৃদু ক... | {"license": "apache-2.0"} | FizuralBangladesh/FizuralBangladesh | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T08:09:57+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Fizural ট্যাবলেট কি?
Fizural দাম হল একটি বিপ্লবী হেমোরয়েড চিকিত্সা যা একটি শক্তিশালী সম্পূরক আকারে আবদ্ধ। তাদের প্রশান্তিদায়ক এবং নিরাময় বৈশিষ্ট্যগুলির জন্য বিখ্যাত প্রাকৃতিক উপাদানগুলির মিশ্রণে তৈরি, Fizural পর্যালোচনা ব্যথা, চুলকানি এবং প্রদাহ থেকে মুক্তি দেওয়ার জন্য হেমোরয়েডের মূল কারণগুলিকে লক্ষ্য করে। মৃদু ক... | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
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13
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null | null |
<!-- 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. -->
# V0415MA2plus
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datas... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0415MA2plus", "results": []}]} | Litzy619/V0415MA2plus | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-16T08:11:32+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0415MA2plus
============
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0731
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# GUE_EMP_H4ac-seqsight_16384_512_22M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_22M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_EMP_H4ac-seqsight_16384_512_22M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4ac-seqsight_16384_512_22M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_16384_512_22M",
"region:us"
] | null | 2024-04-16T08:12:12+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_EMP\_H4ac-seqsight\_16384\_512\_22M-L32\_all
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_EMP\_H4ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7031
* F1 Score: 0... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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text-generation | transformers |
# T3qm7Strangemerges_32-7B
T3qm7Strangemerges_32-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [nlpguy/T3QM7](https://huggingface.co/nlpguy/T3QM7)
* [Gille/StrangeMerges_32-7B-slerp](https://huggingface.co/Gille/StrangeMerges_32-7B-slerp)
#... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["nlpguy/T3QM7", "Gille/StrangeMerges_32-7B-slerp"]} | automerger/T3qm7Strangemerges_32-7B | null | [
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"mistral",
"text-generation",
"merge",
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"automerger",
"base_model:nlpguy/T3QM7",
"base_model:Gille/StrangeMerges_32-7B-slerp",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"reg... | null | 2024-04-16T08:12:49+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #base_model-nlpguy/T3QM7 #base_model-Gille/StrangeMerges_32-7B-slerp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# T3qm7Strangemerges_32-7B
T3qm7Strangemerges_32-7B is an automated merge created by Maxime Labonne using the following configuration.
* nlpguy/T3QM7
* Gille/StrangeMerges_32-7B-slerp
## Configuration
## Usage
| [
"# T3qm7Strangemerges_32-7B\n\nT3qm7Strangemerges_32-7B is an automated merge created by Maxime Labonne using the following configuration.\n* nlpguy/T3QM7\n* Gille/StrangeMerges_32-7B-slerp",
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"## Usage"
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null | transformers |
# DavidAU/hyperdrive-7b-alpha-Q8_0-GGUF
This model was converted to GGUF format from [`maldv/hyperdrive-7b-alpha`](https://huggingface.co/maldv/hyperdrive-7b-alpha) 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://hu... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["unsloth", "book", "llama-cpp", "gguf-my-repo"]} | DavidAU/hyperdrive-7b-alpha-Q8_0-GGUF | null | [
"transformers",
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"unsloth",
"book",
"llama-cpp",
"gguf-my-repo",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T08:14:40+00:00 | [] | [] | TAGS
#transformers #gguf #unsloth #book #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #endpoints_compatible #region-us
|
# DavidAU/hyperdrive-7b-alpha-Q8_0-GGUF
This model was converted to GGUF format from 'maldv/hyperdrive-7b-alpha' 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:
... | [
"# DavidAU/hyperdrive-7b-alpha-Q8_0-GGUF\nThis model was converted to GGUF format from 'maldv/hyperdrive-7b-alpha' 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\n... | [
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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. -->
# PolizzeDonut-CR-Cluster5di7-ConPre-3Epochs
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5epochs-... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-CR-Cluster5di7-ConPre-3Epochs", "results": []}]} | tedad09/PolizzeDonut-CR-Cluster5di7-ConPre-3Epochs | null | [
"transformers",
"tensorboard",
"safetensors",
"vision-encoder-decoder",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T08:15:01+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 #license-mit #endpoints_compatible #region-us
|
# PolizzeDonut-CR-Cluster5di7-ConPre-3Epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informat... | [
"# PolizzeDonut-CR-Cluster5di7-ConPre-3Epochs\n\nThis model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation... | [
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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": []} | adammoss/patch-pretrain-mask-5 | null | [
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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:
* [Open-Orca/Mistral-7B-OpenOrca](https://hugg... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Open-Orca/Mistral-7B-OpenOrca", "mistralai/Mistral-7B-Instruct-v0.1"]} | jpquiroga/Mistral_7B_slerp_merge_instruct_open_orca | null | [
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... | null | 2024-04-16T08:17:27+00:00 | [] | [] | TAGS
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| # 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:
* Open-Orca/Mistral-7B-OpenOrca
* mistralai/Mistral-7B-Instruct-v0.1
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text2text-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": []} | kssumanth6/t5_small_chit_chat_generator_v1 | null | [
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|
# 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.
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- Funded by [optional]:
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token-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. -->
# bert-finetuned-ner
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": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner", "results": []}]} | QMMMS/bert-finetuned-ner | null | [
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| bert-finetuned-ner
==================
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: 0.0600
* Precision: 0.9383
* Recall: 0.9520
* F1: 0.9451
* Accuracy: 0.9866
Model description
-----------------
More information nee... | [
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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. -->
# ruBert-base-sberquad-0.01-len_4-filtered-negative-v2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://hugg... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.01-len_4-filtered-negative-v2", "results": []}]} | Shalazary/ruBert-base-sberquad-0.01-len_4-filtered-negative-v2 | null | [
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|
# ruBert-base-sberquad-0.01-len_4-filtered-negative-v2
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pr... | [
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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": []} | relu-ntnu/bart-large-cnn_v2_trained_on_500 | null | [
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## 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.
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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. -->
# PolizzeDonut-CR-Cluster6di7-ConPre-3Epochs
This model is a fine-tuned version of [tedad09/PolizzeDonut-ChangeRequest-imm5epochs-... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0", "model-index": [{"name": "PolizzeDonut-CR-Cluster6di7-ConPre-3Epochs", "results": []}]} | tedad09/PolizzeDonut-CR-Cluster6di7-ConPre-3Epochs | null | [
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|
# PolizzeDonut-CR-Cluster6di7-ConPre-3Epochs
This model is a fine-tuned version of tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand0 on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informat... | [
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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": "mistralai/Mistral-7B-v0.1"} | cfli/mistral-m3-32-208 | null | [
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('DangelTheMangel/sd-class-bu... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | DangelTheMangel/sd-class-butterflies-32 | null | [
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# Model Card for Unit 1 of the Diffusion Models Class
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text-generation | transformers | <p align="left">
<img src="https://huggingface.co/crimsonjoo/Neversleep-3B-Instruct-v0.1/resolve/main/neversleep_logo.webp" width="70%"/>
<p>
# "We must sleep, but AI Never Sleeps!"
## Prompt Template
```
A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, det... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "yanolja/EEVE-Korean-2.8B-v1.0"} | crimsonjoo/Neversleep-3B-Instruct-v0.1 | null | [
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"2402.14714"
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#transformers #safetensors #phi #text-generation #generated_from_trainer #conversational #custom_code #arxiv-2402.14714 #base_model-yanolja/EEVE-Korean-2.8B-v1.0 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| <p align="left">
<img src="URL width="70%"/>
<p>
# "We must sleep, but AI Never Sleeps!"
## Prompt Template
## Simple-Usage
### Example Output
## About the Model
First of all, Overwhelming gratitude to 'yanolja/EEVE' Model & Team!
This model is a fine-tuned version of crimsonjoo/Neversleep-3B-v0.1, wh... | [
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token-classification | transformers |
## Model Specification
- Model: XLM-RoBERTa (base-sized model)
- Training Data:
- Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, & Norwegian corpora (Top 5 Languages)
- Training Details:
- Base configurations with a minor adjustment in learning rate (4.5e-5)
## Evaluation
- Evaluation Dataset: Universal Depend... | {"language": ["tl"], "datasets": ["universal_dependencies"], "metrics": ["f1"], "pipeline_tag": "token-classification"} | iceman2434/xlm-roberta-base-ft-udpos213-top5lang | null | [
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"xlm-roberta",
"token-classification",
"tl",
"dataset:universal_dependencies",
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"region:us"
] | null | 2024-04-16T08:23:52+00:00 | [] | [
"tl"
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#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 corpora (Top 5 Languages)
- Training Details:
- Base configurations with a minor adjustment in learning rate (4.5e-5)
## Evaluation
- Evaluation Dataset: Universal Depend... | [
"## Model Specification\n- Model: XLM-RoBERTa (base-sized model)\n- Training Data:\n - Combined Afrikaans, Hebrew, Bulgarian, Vietnamese, & Norwegian corpora (Top 5 Languages)\n- Training Details:\n - Base configurations with a minor adjustment in learning rate (4.5e-5)",
"## Evaluation\n- Evaluation Dataset: U... | [
"TAGS\n#transformers #pytorch #xlm-roberta #token-classification #tl #dataset-universal_dependencies #autotrain_compatible #endpoints_compatible #region-us \n",
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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": []} | relu-ntnu/bart-large-xsum_v3_trained_on_10 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T08:27:55+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #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):
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"TAGS\n#transformers #safetensors #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- Funde... |
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": []} | relu-ntnu/bart-large-xsum_v3_trained_on_25 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #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.
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- Funded by [optional]:
- Shared by [optional]:
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