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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": []} | soojeong728/bloomz-560m_PROMPT_TUNING_CAUSAL_LM | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#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... | [
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image-classification | transformers |
Repositorio original: omarques/autotrain-dogs-and-cats-1527055142
| {"license": "cc-by-nc-4.0", "tags": ["vision", "image-classification"], "datasets": ["omarques/autotrain-data-dogs-and-cats"], "widget": [{"src": "images/gato.jpeg", "example_title": "Gato 1"}, {"src": "images/gato-durmiendo.jpg", "example_title": "Gato 2"}]} | aitor-medrano/iabd_model | null | [
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"vit",
"image-classification",
"vision",
"dataset:omarques/autotrain-data-dogs-and-cats",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #pytorch #vit #image-classification #vision #dataset-omarques/autotrain-data-dogs-and-cats #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #region-us
|
Repositorio original: omarques/autotrain-dogs-and-cats-1527055142
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"TAGS\n#transformers #pytorch #vit #image-classification #vision #dataset-omarques/autotrain-data-dogs-and-cats #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #region-us \n"
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] |
text-generation | transformers |
# YamshadowStrangemerges_32_Strangemerges_32Experiment26
YamshadowStrangemerges_32_Strangemerges_32Experiment26 is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/Strangemerges_32Experiment26-7B](https://hugging... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_Strangemerges_32Experiment26", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/Strangemerges_32Experiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", ... | MaziyarPanahi/YamshadowStrangemerges_32_Strangemerges_32Experiment26 | null | [
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"base_model:automerger/Strangemerges_32Experiment26-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T09:00:32+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/Strangemerges_32Experiment26-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowStrangemerges_32_Strangemerges_32Experiment26
YamshadowStrangemerges_32_Strangemerges_32Experiment26 is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/Strangemerges_32Experiment26-7B
## Usage
| [
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text-generation | transformers |
# Experiment26Neuralsirkrishna_Multi_verse_modelYam
Experiment26Neuralsirkrishna_Multi_verse_modelYam is a merge of the following models:
* [automerger/Experiment26Neuralsirkrishna-7B](https://huggingface.co/automerger/Experiment26Neuralsirkrishna-7B)
* [automerger/Multi_verse_modelYam-7B](https://huggingface.co/auto... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Neuralsirkrishna_Multi_verse_modelYam", "base_model": ["automerger/Experiment26Neuralsirkrishna-7B", "automerger/Multi_verse_modelYam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_... | MaziyarPanahi/Experiment26Neuralsirkrishna_Multi_verse_modelYam | null | [
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"base_model:automerger/Multi_verse_modelYam-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T09:00:34+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment26Neuralsirkrishna-7B #base_model-automerger/Multi_verse_modelYam-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment26Neuralsirkrishna_Multi_verse_modelYam
Experiment26Neuralsirkrishna_Multi_verse_modelYam is a merge of the following models:
* automerger/Experiment26Neuralsirkrishna-7B
* automerger/Multi_verse_modelYam-7B
## Usage
| [
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"## Usage"
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text-generation | transformers |
# YamshadowInex12_Experiment26Experiment30
YamshadowInex12_Experiment26Experiment30 is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/Experiment26Experiment30-7B](https://huggingface.co/automerger/Experiment26Experiment30-7B)
##... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_Experiment26Experiment30", "base_model": ["automerger/YamshadowInex12-7B", "automerger/Experiment26Experiment30-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-genera... | MaziyarPanahi/YamshadowInex12_Experiment26Experiment30 | null | [
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"base_model:automerger/Experiment26Experiment30-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T09:00:35+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowInex12-7B #base_model-automerger/Experiment26Experiment30-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowInex12_Experiment26Experiment30
YamshadowInex12_Experiment26Experiment30 is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/Experiment26Experiment30-7B
## Usage
| [
"# YamshadowInex12_Experiment26Experiment30\n\nYamshadowInex12_Experiment26Experiment30 is a merge of the following models:\n* automerger/YamshadowInex12-7B\n* automerger/Experiment26Experiment30-7B",
"## Usage"
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"# YamshadowInex12_Experiment26Experiment30\n\nYamshadow... | [
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null | null | ToolsBaer MSG to Gmail Conversion Tool is the most used tool for users to convert MSG files to Gmail. Nothing changes to the original files or data during the conversion process. This program's user-friendly interface allows it to be utilized without the need for prior technological knowledge. When exporting several MS... | {} | madelineoliver/ToolsBaer-MSG-to-Gmail-Conversion | null | [
"region:us"
] | null | 2024-04-09T09:00:37+00:00 | [] | [] | TAGS
#region-us
| ToolsBaer MSG to Gmail Conversion Tool is the most used tool for users to convert MSG files to Gmail. Nothing changes to the original files or data during the conversion process. This program's user-friendly interface allows it to be utilized without the need for prior technological knowledge. When exporting several MS... | [] | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="Rudolph314/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional ... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | Rudolph314/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-09T09:01:00+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
text-generation | transformers |
# MiniCPM-2B-128k
<!-- Provide a quick summary of what the model is/does. -->
[OpenBMB Technical Blog Series](https://openbmb.vercel.app/)
MiniCPM is an End-Size LLM developed by ModelBest Inc. and TsinghuaNLP, with only 2.4B parameters excluding embeddings.
MiniCPM-2B-128k is a long context extension trial of [Mi... | {"language": ["zh", "en"], "library_name": "transformers", "tags": ["MiniCPM", "ModelBest", "THUNLP", "conversational", "custom_code"], "datasets": ["stingning/ultrachat"], "pipeline_tag": "text-generation"} | openbmb/MiniCPM-2B-128k | null | [
"transformers",
"pytorch",
"text-generation",
"MiniCPM",
"ModelBest",
"THUNLP",
"conversational",
"custom_code",
"zh",
"en",
"dataset:stingning/ultrachat",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T09:04:02+00:00 | [] | [
"zh",
"en"
] | TAGS
#transformers #pytorch #text-generation #MiniCPM #ModelBest #THUNLP #conversational #custom_code #zh #en #dataset-stingning/ultrachat #autotrain_compatible #region-us
| MiniCPM-2B-128k
===============
OpenBMB Technical Blog Series
MiniCPM is an End-Size LLM developed by ModelBest Inc. and TsinghuaNLP, with only 2.4B parameters excluding embeddings.
MiniCPM-2B-128k is a long context extension trial of MiniCPM-2B.
To our best knowledge, MiniCPM-2B-128k is the first long context(>=12... | [] | [
"TAGS\n#transformers #pytorch #text-generation #MiniCPM #ModelBest #THUNLP #conversational #custom_code #zh #en #dataset-stingning/ultrachat #autotrain_compatible #region-us \n"
] | [
55
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] |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="Rudolph314/q-FrozenLake-v1-4x4-isSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional ... | {"tags": ["FrozenLake-v1-4x4", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-isSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4", "type": "FrozenLake-v1-4x4"}, "m... | Rudolph314/q-FrozenLake-v1-4x4-isSlippery | null | [
"FrozenLake-v1-4x4",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-09T09:04:56+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
text-generation | transformers |
# mlx-community/h2o-danube2-1.8b-chat-4bit
This model was converted to MLX format from [`h2oai/h2o-danube2-1.8b-chat`]() using mlx-lm version **0.8.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/h2oai/h2o-danube2-1.8b-chat) for more d... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio", "mlx"], "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico", "pipeline_tag": "text-generation"} | mlx-community/h2o-danube2-1.8b-chat-4bit | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"gpt",
"llm",
"large language model",
"h2o-llmstudio",
"mlx",
"conversational",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T09:06:23+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #gpt #llm #large language model #h2o-llmstudio #mlx #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# mlx-community/h2o-danube2-1.8b-chat-4bit
This model was converted to MLX format from ['h2oai/h2o-danube2-1.8b-chat']() using mlx-lm version 0.8.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/h2o-danube2-1.8b-chat-4bit\nThis model was converted to MLX format from ['h2oai/h2o-danube2-1.8b-chat']() using mlx-lm version 0.8.0.\n\nModel added by Prince Canuma.\n\nRefer to the original model card for more details on the model.",
"## Use with mlx"
] | [
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null | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mo... | {} | tspsram/emoji | null | [
"arxiv:1910.09700",
"region:us"
] | null | 2024-04-09T09:07:21+00:00 | [
"1910.09700"
] | [] | TAGS
#arxiv-1910.09700 #region-us
|
# Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model ... | [
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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": []} | abhishekyo/codellama2-finetuned-codex-fin8 | null | [
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"arxiv:1910.09700",
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"endpoints_compatible",
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"8-bit",
"region:us"
] | null | 2024-04-09T09:08:43+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #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 | null |
# DavidAU/NEBULA-XB-v1.0_SFT_2_epoch-Q4_K_S-GGUF
This model was converted to GGUF format from [`TeeZee/NEBULA-XB-v1.0_SFT_2_epoch`](https://huggingface.co/TeeZee/NEBULA-XB-v1.0_SFT_2_epoch) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origin... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["athirdpath/Merge_Glue"], "model-index": [{"name": "NEBULA-XB-v1.0_SFT_2_epoch", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config"... | DavidAU/NEBULA-XB-v1.0_SFT_2_epoch-Q4_K_S-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:athirdpath/Merge_Glue",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-09T09:09:10+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #dataset-athirdpath/Merge_Glue #license-apache-2.0 #model-index #region-us
|
# DavidAU/NEBULA-XB-v1.0_SFT_2_epoch-Q4_K_S-GGUF
This model was converted to GGUF format from 'TeeZee/NEBULA-XB-v1.0_SFT_2_epoch' 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.
C... | [
"# DavidAU/NEBULA-XB-v1.0_SFT_2_epoch-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'TeeZee/NEBULA-XB-v1.0_SFT_2_epoch' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #dataset-athirdpath/Merge_Glue #license-apache-2.0 #model-index #region-us \n# DavidAU/NEBULA-XB-v1.0_SFT_2_epoch-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'TeeZee/NEBULA-XB-v1.0_SFT_2_epoch' using URL via the URL's GGUF-my-repo space.\nRefer to the original mod... |
text-generation | transformers |
# yujiepan/TinyLlama-1.1B
This model is a float16 version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T).
Codes:
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained('... | {"library_name": "transformers", "tags": []} | yujiepan/TinyLlama-1.1B | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T09:11:59+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# yujiepan/TinyLlama-1.1B
This model is a float16 version of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T.
Codes:
| [
"# yujiepan/TinyLlama-1.1B\n\nThis model is a float16 version of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T.\n\nCodes:"
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"TAGS\n#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# yujiepan/TinyLlama-1.1B\n\nThis model is a float16 version of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T.\n\nCodes:"
] |
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. -->
# llama2-7b-dpo-full-wo-live_qa-ep3
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-l... | {"tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama2-7b-dpo-full-wo-live_qa-ep3", "results": []}]} | Minbyul/llama2-7b-dpo-full-wo-live_qa-ep3 | null | [
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"reg... | null | 2024-04-09T09:13:14+00:00 | [] | [] | TAGS
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| llama2-7b-dpo-full-wo-live\_qa-ep3
==================================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6073
* Rewards/chosen: 0.0705
* Rewards/rejected: -0.1795
* R... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\n*... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: fp4
- bnb_4bit_use_doub... | {"library_name": "peft"} | flops2081/13b-test | null | [
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"region:us"
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#peft #llama #4-bit #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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- load_in_4bit: True
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- llm_int8_enable_fp32_cpu_offload: False
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text-classification | transformers | # Flames-scorer
This is the specified scorer for Flames benchmark – a highly adversarial benchmark in Chinese for LLM's value alignment evaluation.
For more detail, please refer to our [paper](https://arxiv.org/abs/2311.06899) and [Github repo](https://github.com/AIFlames/Flames/tree/main)
## Model Details
* Develope... | {"language": ["zh"], "library_name": "transformers", "metrics": ["accuracy", "recall", "precision"], "pipeline_tag": "text-classification"} | CaasiHUANG/flames-scorer | null | [
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"custom_code",
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"arxiv:2311.06899",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-09T09:15:01+00:00 | [
"2311.06899"
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#transformers #pytorch #internlm #text-classification #custom_code #zh #arxiv-2311.06899 #autotrain_compatible #endpoints_compatible #region-us
| # Flames-scorer
This is the specified scorer for Flames benchmark – a highly adversarial benchmark in Chinese for LLM's value alignment evaluation.
For more detail, please refer to our paper and Github repo
## Model Details
* Developed by: Shanghai AI Lab and Fudan NLP Group.
* Model type: We employ an InternLM-chat-... | [
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text-generation | null |
# teragron/buddhi-128k-chat-7b-Q4_K_M-GGUF
This model was converted to GGUF format from [`aiplanet/buddhi-128k-chat-7b`](https://huggingface.co/aiplanet/buddhi-128k-chat-7b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](h... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | teragron/buddhi-128k-chat-7b-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T09:15:58+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #text-generation #license-apache-2.0 #region-us
|
# teragron/buddhi-128k-chat-7b-Q4_K_M-GGUF
This model was converted to GGUF format from 'aiplanet/buddhi-128k-chat-7b' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Serv... | [
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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. -->
# distilgpt2-finetuned-0409noono
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-0409noono", "results": []}]} | ntust0/distilgpt2-finetuned-0409noono | null | [
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"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:distilgpt2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T09:16:26+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-distilgpt2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| distilgpt2-finetuned-0409noono
==============================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5678
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: 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: 3.0",
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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": []} | Grayx/unstable_61 | null | [
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"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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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]:
- Shared by [optional]:
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text-generation | transformers |
# M7Yamshadowexperiment28_Experiment24Experiment28
M7Yamshadowexperiment28_Experiment24Experiment28 is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/Experiment24Experiment28-7B](https://huggingface.co/automerger/E... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Experiment24Experiment28", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Experiment24Experiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_ta... | MaziyarPanahi/M7Yamshadowexperiment28_Experiment24Experiment28 | null | [
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|
# M7Yamshadowexperiment28_Experiment24Experiment28
M7Yamshadowexperiment28_Experiment24Experiment28 is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/Experiment24Experiment28-7B
## Usage
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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:
* [Equall/Saul-Base](https://huggingface.co/Eq... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Equall/Saul-Base", "HuggingFaceH4/zephyr-7b-beta"]} | mergekit-community/mergekit-slerp-fhbafej | null | [
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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:
* Equall/Saul-Base
* HuggingFaceH4/zephyr-7b-beta
### Configuration
The following... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# cvt-w24-384-22k-finetuned-LeafBack-v2
This model is a fine-tuned version of [microsoft/cvt-w24-384-22k](https://huggingface.co/m... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/cvt-w24-384-22k", "model-index": [{"name": "cvt-w24-384-22k-finetuned-LeafBack-v2", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset... | b07611031/cvt-w24-384-22k-finetuned-LeafBack-v2 | null | [
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|
# cvt-w24-384-22k-finetuned-LeafBack-v2
This model is a fine-tuned version of microsoft/cvt-w24-384-22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0459
- Accuracy: 0.9870
## Model description
More information needed
## Intended uses & limitations
More informat... | [
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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. -->
# cdc_influenza
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "cdc_influenza", "results": []}]} | PergaZuZ/cdc_influenza | null | [
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| cdc\_influenza
==============
This model is a fine-tuned version of t5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7083
* Rouge1: 0.2081
* Rouge2: 0.0515
* Rougel: 0.1688
* Rougelsum: 0.1681
* Gen Len: 19.0
Model description
-----------------
More information ne... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\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\n* mixed\\_prec... | [
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text-generation | transformers |
# Experiment28M7_Strangemerges_32Experiment26
Experiment28M7_Strangemerges_32Experiment26 is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/Strangemerges_32Experiment26-7B](https://huggingface.co/automerger/Strangemerges_32Experimen... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_Strangemerges_32Experiment26", "base_model": ["automerger/Experiment28M7-7B", "automerger/Strangemerges_32Experiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-... | MaziyarPanahi/Experiment28M7_Strangemerges_32Experiment26 | null | [
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|
# Experiment28M7_Strangemerges_32Experiment26
Experiment28M7_Strangemerges_32Experiment26 is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/Strangemerges_32Experiment26-7B
## Usage
| [
"# Experiment28M7_Strangemerges_32Experiment26\n\nExperiment28M7_Strangemerges_32Experiment26 is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/Strangemerges_32Experiment26-7B",
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text-generation | transformers |
# MeliodasPercival_01_ShadowNeuralsirkrishna
MeliodasPercival_01_ShadowNeuralsirkrishna is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/ShadowNeuralsirkrishna-7B](https://huggingface.co/automerger/ShadowNeuralsirkrishna-... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_ShadowNeuralsirkrishna", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/ShadowNeuralsirkrishna-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-ge... | MaziyarPanahi/MeliodasPercival_01_ShadowNeuralsirkrishna | null | [
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|
# MeliodasPercival_01_ShadowNeuralsirkrishna
MeliodasPercival_01_ShadowNeuralsirkrishna is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/ShadowNeuralsirkrishna-7B
## Usage
| [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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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 generate... | {"library_name": "transformers", "tags": []} | aiInnovar/training-model-for-inno | null | [
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# Model Card for Model ID
## Model Details
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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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text-generation | transformers |
# Model Card for Model ID
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## Model Details
Shivneri Marathi LLM is being built with the wish to bring the benefits of Generative AI to non-English (especially Marathi) speaking population of India.
Marathi has the third largest number of native speakers in India, after Hindi and Bengali.
Almost 83 milli... | {"language": ["mr", "en"], "license": "gemma", "library_name": "transformers", "datasets": ["ai4bharat/sangraha"], "pipeline_tag": "text-generation"} | amitagh/shivneri-marathi-llm-7b-v0.1 | null | [
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# Model Card for Model ID
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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. -->
# controlnet-kwonseungchan/output_controlnet_pth_v1_v1
These are controlnet weights trained on runwayml/stable-diffusion-... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "controlnet", "diffusers-training"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | kwonseungchan/output_controlnet_pth_v1_v1 | null | [
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|
# controlnet-kwonseungchan/output_controlnet_pth_v1_v1
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
## Trai... | [
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text-generation | transformers |
# YamshadowStrangemerges_32_Strangemerges_32Yamshadow
YamshadowStrangemerges_32_Strangemerges_32Yamshadow is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/Strangemerges_32Yamshadow-7B](https://huggingface.co/a... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_Strangemerges_32Yamshadow", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/Strangemerges_32Yamshadow-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipel... | MaziyarPanahi/YamshadowStrangemerges_32_Strangemerges_32Yamshadow | null | [
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"license:apache-2.0",
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#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/Strangemerges_32Yamshadow-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowStrangemerges_32_Strangemerges_32Yamshadow
YamshadowStrangemerges_32_Strangemerges_32Yamshadow is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/Strangemerges_32Yamshadow-7B
## Usage
| [
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"## Usage"
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text-generation | transformers |
# YamshadowInex12_NeuralExperiment26
YamshadowInex12_NeuralExperiment26 is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/NeuralExperiment26-7B](https://huggingface.co/automerger/NeuralExperiment26-7B)
## 💻 Usage
```python
!p... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_NeuralExperiment26", "base_model": ["automerger/YamshadowInex12-7B", "automerger/NeuralExperiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quan... | MaziyarPanahi/YamshadowInex12_NeuralExperiment26 | null | [
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"base_model:automerger/NeuralExperiment26-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
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#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowInex12-7B #base_model-automerger/NeuralExperiment26-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowInex12_NeuralExperiment26
YamshadowInex12_NeuralExperiment26 is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/NeuralExperiment26-7B
## Usage
| [
"# YamshadowInex12_NeuralExperiment26\n\nYamshadowInex12_NeuralExperiment26 is a merge of the following models:\n* automerger/YamshadowInex12-7B\n* automerger/NeuralExperiment26-7B",
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"# YamshadowInex12_NeuralExperiment26\n\nYamshadowInex12_Neura... | [
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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. -->
# 0.00045_idpo_decalpha_iter_2
This model is a fine-tuned version of [ZhangShenao/0.001_idpo_decalpha_iter_1](https://huggingface.... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.00045_idpo_decalpha_dataset"], "base_model": "ZhangShenao/0.001_idpo_decalpha_iter_1", "model-index": [{"name": "0.00045_idpo_decalpha_iter_2", "results": []}]} | ZhangShenao/0.00045_idpo_decalpha_iter_2 | null | [
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"license:mit",
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"end... | null | 2024-04-09T09:23:13+00:00 | [] | [] | TAGS
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# 0.00045_idpo_decalpha_iter_2
This model is a fine-tuned version of ZhangShenao/0.001_idpo_decalpha_iter_1 on the ZhangShenao/0.00045_idpo_decalpha_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informa... | [
"# 0.00045_idpo_decalpha_iter_2\n\nThis model is a fine-tuned version of ZhangShenao/0.001_idpo_decalpha_iter_1 on the ZhangShenao/0.00045_idpo_decalpha_dataset dataset.",
"## Model description\n\nMore information needed",
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text-generation | transformers |
# NeuralsirkrishnaShadow_Strangemerges_32Yam
NeuralsirkrishnaShadow_Strangemerges_32Yam is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/Strangemerges_32Yam-7B](https://huggingface.co/automerger/Strangemerges_32Yam-... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_Strangemerges_32Yam", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/Strangemerges_32Yam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-ge... | MaziyarPanahi/NeuralsirkrishnaShadow_Strangemerges_32Yam | null | [
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"text-generation",
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"base_model:automerger/Strangemerges_32Yam-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T09:24:11+00:00 | [] | [] | TAGS
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|
# NeuralsirkrishnaShadow_Strangemerges_32Yam
NeuralsirkrishnaShadow_Strangemerges_32Yam is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/Strangemerges_32Yam-7B
## Usage
| [
"# NeuralsirkrishnaShadow_Strangemerges_32Yam\n\nNeuralsirkrishnaShadow_Strangemerges_32Yam is a merge of the following models:\n* automerger/NeuralsirkrishnaShadow-7B\n* automerger/Strangemerges_32Yam-7B",
"## Usage"
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text-generation | transformers |
# mlx-community/h2o-danube2-1.8b-sft-4bit
This model was converted to MLX format from [`h2oai/h2o-danube2-1.8b-sft`]() using mlx-lm version **0.8.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/h2oai/h2o-danube2-1.8b-sft) for more deta... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio", "mlx"], "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico", "pipeline_tag": "text-generation"} | mlx-community/h2o-danube2-1.8b-sft-4bit | null | [
"transformers",
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"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T09:25:22+00:00 | [] | [
"en"
] | TAGS
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|
# mlx-community/h2o-danube2-1.8b-sft-4bit
This model was converted to MLX format from ['h2oai/h2o-danube2-1.8b-sft']() using mlx-lm version 0.8.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/h2o-danube2-1.8b-sft-4bit\nThis model was converted to MLX format from ['h2oai/h2o-danube2-1.8b-sft']() using mlx-lm version 0.8.0.\n\nModel added by Prince Canuma.\n\nRefer to the original model card for more details on the model.",
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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. -->
# w2v-bert-2.0-malayalam_mixeddataset-CV16.0
This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/w2v-bert-2.0", "model-index": [{"name": "w2v-bert-2.0-malayalam_mixeddataset-CV16.0", "results": []}]} | Bajiyo/w2v-bert-2.0-malayalam_mixeddataset-CV16.0 | null | [
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"base_model:facebook/w2v-bert-2.0",
"license:mit",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-09T09:25:29+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2-bert #automatic-speech-recognition #generated_from_trainer #base_model-facebook/w2v-bert-2.0 #license-mit #endpoints_compatible #has_space #region-us
| w2v-bert-2.0-malayalam\_mixeddataset-CV16.0
===========================================
This model is a fine-tuned version of facebook/w2v-bert-2.0 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1616
* Wer: 0.1199
Model description
-----------------
More information ne... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* lea... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | J3nsenn/fine-tuned-distilbertv3 | null | [
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"safetensors",
"distilbert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T09:27:19+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# emotional-distilbert-2
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilb... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "emotional-distilbert-2", "results": []}]} | sherelyn912/emotional-distilbert-2 | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| emotional-distilbert-2
======================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2738
* Accuracy: 0.4174
* F1: 0.4086
* Precision: 0.4232
* Recall: 0.4174
Model description
---------------... | [
"### 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: 10",
"### Train... | [
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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:
* [mistralai/Mixtral-8x7B-Instruct-v0.1](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mistralai/Mixtral-8x7B-Instruct-v0.1"]} | SharryOG/mergekit-slerp-brdnrhx | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T09:35:32+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #mergekit #merge #conversational #base_model-mistralai/Mixtral-8x7B-Instruct-v0.1 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* mistralai/Mixtral-8x7B-Instruct-v0.1
### Configuration
The following YAML confi... | [
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text-generation | transformers |
# Large Language Models for Expansion of Spoken Language Understanding Systems to New Languages
## Model description
This model is a fine-tuned version of the pre-trained model James-WYang/BigTranslate, specifically adjusted to handle the slot translation task. The fine-tuning process and the specific model adjustmen... | {"license": "mit"} | Samsung/BigTranslateSlotTranslator | null | [
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|
# Large Language Models for Expansion of Spoken Language Understanding Systems to New Languages
## Model description
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text-classification | setfit |
# SetFit with desarrolloasesoreslocales/bert-leg-al-corpus
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [desarrolloasesoreslocales/bert-leg-al-corpus](https://huggingface.co/desarrolloasesoreslocales/bert-leg-al-corpus) as the Sentenc... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "Que manifiesta su total y absoluta oposici\u00f3n ante la Denuncia notificada, toda vez que por PABLO BRUNO no ha cometido infracci\u00f3n alguna ... | desarrolloasesoreslocales/bert-leg-al-setfit | null | [
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| SetFit with desarrolloasesoreslocales/bert-leg-al-corpus
========================================================
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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-base-en
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the N... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-base", "model-index": [{"name": "whisper-base-en", "results": []}]} | TroySer/whisper-base-en | null | [
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| whisper-base-en
===============
This model is a fine-tuned version of openai/whisper-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0610
* Wer: 4.9491
Model description
-----------------
More information needed
Intended uses & limitations
-------------------------... | [
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text-generation | transformers |
# M7Yamshadowexperiment28_ShadowYam
M7Yamshadowexperiment28_ShadowYam is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/ShadowYam-7B](https://huggingface.co/automerger/ShadowYam-7B)
## 💻 Usage
```python
!pip i... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_ShadowYam", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/ShadowYam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quanti... | MaziyarPanahi/M7Yamshadowexperiment28_ShadowYam | null | [
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|
# M7Yamshadowexperiment28_ShadowYam
M7Yamshadowexperiment28_ShadowYam is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/ShadowYam-7B
## Usage
| [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="Rudolph314/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/... | Rudolph314/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-09T09:39:19+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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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": []} | adhi29/adapter-gemma-2b-v2.0-lora-answer-evaluator-f1loss | null | [
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"1910.09700"
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#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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- Model type:
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- License... | [
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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. -->
# train_logs
This model is a fine-tuned version of [line-corporation/japanese-large-lm-1.7b](https://huggingface.co/line-corporati... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "line-corporation/japanese-large-lm-1.7b", "model-index": [{"name": "train_logs", "results": []}]} | tamo2-3yama/train_logs | null | [
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|
# train_logs
This model is a fine-tuned version of line-corporation/japanese-large-lm-1.7b on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyper... | [
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text-generation | transformers |
# MeliodasPercival_01_AlloyingotneoyExperiment24
MeliodasPercival_01_AlloyingotneoyExperiment24 is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/AlloyingotneoyExperiment24-7B](https://huggingface.co/automerger/Alloyingotn... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_AlloyingotneoyExperiment24", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/AlloyingotneoyExperiment24-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": ... | MaziyarPanahi/MeliodasPercival_01_AlloyingotneoyExperiment24 | null | [
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"region:us"
] | null | 2024-04-09T09:43:58+00:00 | [] | [] | TAGS
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|
# MeliodasPercival_01_AlloyingotneoyExperiment24
MeliodasPercival_01_AlloyingotneoyExperiment24 is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/AlloyingotneoyExperiment24-7B
## Usage
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text-generation | transformers |
# YamshadowStrangemerges_32_ShadowYamshadow
YamshadowStrangemerges_32_ShadowYamshadow is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/ShadowYamshadow-7B](https://huggingface.co/automerger/ShadowYamshadow-7B)
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_ShadowYamshadow", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/ShadowYamshadow-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-gene... | MaziyarPanahi/YamshadowStrangemerges_32_ShadowYamshadow | null | [
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|
# YamshadowStrangemerges_32_ShadowYamshadow
YamshadowStrangemerges_32_ShadowYamshadow is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/ShadowYamshadow-7B
## Usage
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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. -->
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|
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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": []} | abhishekyo/codellama2-finetuned-codex-fin9 | null | [
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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- Shared by [optional]:
- Model type:
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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": []} | wendlerc/gsm8k-mistral-7b-v2-qlora-64-16-padtok | null | [
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### 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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text-generation | transformers |
# Experiment28M7_Strangemerges_32Yamshadow
Experiment28M7_Strangemerges_32Yamshadow is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/Strangemerges_32Yamshadow-7B](https://huggingface.co/automerger/Strangemerges_32Yamshadow-7B)
##... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_Strangemerges_32Yamshadow", "base_model": ["automerger/Experiment28M7-7B", "automerger/Strangemerges_32Yamshadow-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-genera... | MaziyarPanahi/Experiment28M7_Strangemerges_32Yamshadow | null | [
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"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T09:45:50+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/Strangemerges_32Yamshadow-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_Strangemerges_32Yamshadow
Experiment28M7_Strangemerges_32Yamshadow is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/Strangemerges_32Yamshadow-7B
## Usage
| [
"# Experiment28M7_Strangemerges_32Yamshadow\n\nExperiment28M7_Strangemerges_32Yamshadow is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/Strangemerges_32Yamshadow-7B",
"## Usage"
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text-generation | transformers |
# YamshadowInex12_NeuralsirkrishnaInex12
YamshadowInex12_NeuralsirkrishnaInex12 is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/NeuralsirkrishnaInex12-7B](https://huggingface.co/automerger/NeuralsirkrishnaInex12-7B)
## 💻 Usag... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_NeuralsirkrishnaInex12", "base_model": ["automerger/YamshadowInex12-7B", "automerger/NeuralsirkrishnaInex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation... | MaziyarPanahi/YamshadowInex12_NeuralsirkrishnaInex12 | null | [
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"base_model:automerger/NeuralsirkrishnaInex12-7B",
"license:apache-2.0",
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|
# YamshadowInex12_NeuralsirkrishnaInex12
YamshadowInex12_NeuralsirkrishnaInex12 is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/NeuralsirkrishnaInex12-7B
## Usage
| [
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"# YamshadowInex12_NeuralsirkrishnaInex12\n\nYamshadowInex... | [
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text-generation | transformers |
# NeuralsirkrishnaShadow_Experiment24Experiment28
NeuralsirkrishnaShadow_Experiment24Experiment28 is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/Experiment24Experiment28-7B](https://huggingface.co/automerger/Exper... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_Experiment24Experiment28", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/Experiment24Experiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag"... | MaziyarPanahi/NeuralsirkrishnaShadow_Experiment24Experiment28 | null | [
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"safetensors",
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"Safetensors",
"text-generation-inference",
"merge",
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"base_model:automerger/Experiment24Experiment28-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
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|
# NeuralsirkrishnaShadow_Experiment24Experiment28
NeuralsirkrishnaShadow_Experiment24Experiment28 is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/Experiment24Experiment28-7B
## Usage
| [
"# NeuralsirkrishnaShadow_Experiment24Experiment28\n\nNeuralsirkrishnaShadow_Experiment24Experiment28 is a merge of the following models:\n* automerger/NeuralsirkrishnaShadow-7B\n* automerger/Experiment24Experiment28-7B",
"## Usage"
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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": []} | screengreen/strange_model_lora | null | [
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#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",
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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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "Qwen/Qwen1.5-7B", "model-index": [{"name": "home/yujia/home/CN_Hateful/trained_models/qwen/CN/toxi/5e-4/", "results": []}]} | yujia23/axolotl-qwen-cn-5e-4-lora | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
home/yujia/home/CN\_Hateful/trained\_models/qwen/CN/toxi/5e-4/
==============================================================
This model is a fine-tuned version of Qwen/Qwen1.5-7B on the None dataset.
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n... | [
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | Pongsathorn/poca-SoccerTwos | null | [
"ml-agents",
"tensorboard",
"onnx",
"SoccerTwos",
"deep-reinforcement-learning",
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"ML-Agents-SoccerTwos",
"region:us"
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#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* ... | [
"# poca Agent playing SoccerTwos\n This is a trained model of a poca agent playing SoccerTwos\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short ... | [
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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": []} | OwOpeepeepoopoo/lfg3 | null | [
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"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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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. -->
# dialoguesum
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-base", "model-index": [{"name": "dialoguesum", "results": []}]} | SuramyaPokharel/dialoguesum | null | [
"transformers",
"safetensors",
"bart",
"text2text-generation",
"generated_from_trainer",
"base_model:facebook/bart-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T09:54:28+00:00 | [] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| dialoguesum
===========
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0806
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information... | [
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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": []} | hinny-coder/hinny-coder-6.7b-solidity | 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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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Clas... | PHVK1611/swin-tiny-patch4-window7-224-finetuned-eurosat | null | [
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| swin-tiny-patch4-window7-224-finetuned-eurosat
==============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3679
* Accuracy: 0.8010
Model description
------... | [
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automatic-speech-recognition | ctranslate2 |
# Whisper tiny model for CTranslate2
This repository contains the conversion of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) to the [CTranslate2](https://github.com/OpenNMT/CTranslate2) model format.
This model can be used in CTranslate2 or projects based on CTranslate2 such as [faster-whisper](... | {"language": ["en", "zh", "de", "es", "ru", "ko", "fr", "ja", "pt", "tr", "pl", "ca", "nl", "ar", "sv", "it", "id", "hi", "fi", "vi", "he", "uk", "el", "ms", "cs", "ro", "da", "hu", "ta", "no", "th", "ur", "hr", "bg", "lt", "la", "mi", "ml", "cy", "sk", "te", "fa", "lv", "bn", "sr", "az", "sl", "kn", "et", "mk", "br", ... | srivatsavdamaraju/api | null | [
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# Whisper tiny model for CTranslate2
This repository contains the conversion of openai/whisper-tiny to the CTranslate2 model format.
This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper.
## Example
## Conversion details
The original model was converted with the following... | [
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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. -->
# llama2-7b-dpo-full-wo-medication_qa-ep3
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/... | {"tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama2-7b-dpo-full-wo-medication_qa-ep3", "results": []}]} | Minbyul/llama2-7b-dpo-full-wo-medication_qa-ep3 | null | [
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| llama2-7b-dpo-full-wo-medication\_qa-ep3
========================================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6486
* Rewards/chosen: 0.0485
* Rewards/rejected:... | [
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text-generation | transformers |
# M7Yamshadowexperiment28_ShadowNeuralsirkrishna
M7Yamshadowexperiment28_ShadowNeuralsirkrishna is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/ShadowNeuralsirkrishna-7B](https://huggingface.co/automerger/ShadowN... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_ShadowNeuralsirkrishna", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/ShadowNeuralsirkrishna-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": ... | MaziyarPanahi/M7Yamshadowexperiment28_ShadowNeuralsirkrishna | null | [
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|
# M7Yamshadowexperiment28_ShadowNeuralsirkrishna
M7Yamshadowexperiment28_ShadowNeuralsirkrishna is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/ShadowNeuralsirkrishna-7B
## Usage
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text-generation | transformers |
# Inex12Yamshadowexperiment28-7B
Inex12Yamshadowexperiment28-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [MSL7/INEX12-7b](https://huggingface.co/MSL7/INEX12-7b)
* [automerger/YamshadowExperiment28-7B](https://huggingface.co/automerger/Yams... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["MSL7/INEX12-7b", "automerger/YamshadowExperiment28-7B"]} | automerger/Inex12Yamshadowexperiment28-7B | null | [
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... | null | 2024-04-09T10:03:10+00:00 | [] | [] | TAGS
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|
# Inex12Yamshadowexperiment28-7B
Inex12Yamshadowexperiment28-7B is an automated merge created by Maxime Labonne using the following configuration.
* MSL7/INEX12-7b
* automerger/YamshadowExperiment28-7B
## Configuration
## Usage
| [
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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. -->
# 0.00045_idpo_noreplacerej_decalpha_iter_2
This model is a fine-tuned version of [ZhangShenao/0.001_idpo_noreplacerej_decalpha_it... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.00045_idpo_noreplacerej_decalpha_dataset"], "base_model": "ZhangShenao/0.001_idpo_noreplacerej_decalpha_iter_1", "model-index": [{"name": "0.00045_idpo_noreplacerej_decalpha_i... | ZhangShenao/0.00045_idpo_noreplacerej_decalpha_iter_2 | null | [
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"license:mit",
"aut... | null | 2024-04-09T10:03:45+00:00 | [] | [] | TAGS
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# 0.00045_idpo_noreplacerej_decalpha_iter_2
This model is a fine-tuned version of ZhangShenao/0.001_idpo_noreplacerej_decalpha_iter_1 on the ZhangShenao/0.00045_idpo_noreplacerej_decalpha_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Tra... | [
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text-to-image | diffusers | # Spica
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/tomyhhc/Spica/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "Realistic photo of a 18 years old beautiful cute asian girl with light brown long hair, hair roots slightly faded, (skin cheek:1.1), influencer, light blue eyes, smiling, instagram, hyperdetailed photography, s... | tomyhhc/Spica | null | [
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"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-09T10:06:02+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
| # Spica
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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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": []} | gouthamsk/mistral-embedded-c-instruct-v0.4 | null | [
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] | null | 2024-04-09T10:06:21+00:00 | [
"1910.09700"
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#transformers #safetensors #mistral #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-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:
* [HuggingFaceH4/zephyr-7b-beta](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "Equall/Saul-Base"]} | caliex/zephyr-Saul-Base-7b-merged | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T10:07:40+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:
* HuggingFaceH4/zephyr-7b-beta
* Equall/Saul-Base
### Configuration
The following... | [
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image-segmentation | 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. -->
# segformer-finetuned-sidewalk-10k-steps
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b... | {"license": "other", "tags": ["image-segmentation", "vision", "generated_from_trainer"], "base_model": "nvidia/mit-b0", "model-index": [{"name": "segformer-finetuned-sidewalk-10k-steps", "results": []}]} | qubvel-hf/segformer-finetuned-sidewalk-10k-steps | null | [
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#transformers #safetensors #segformer #image-segmentation #vision #generated_from_trainer #base_model-nvidia/mit-b0 #license-other #endpoints_compatible #region-us
| segformer-finetuned-sidewalk-10k-steps
======================================
This model is a fine-tuned version of nvidia/mit-b0 on the segments/sidewalk-semantic dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5453
* Mean Iou: 0.3123
* Mean Accuracy: 0.3821
* Overall Accuracy: 0.8406
*... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 6e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 1337\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: polynomial\n* training\\_steps: 10000",
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | Hag1/xxxxx | null | [
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"region:us"
] | null | 2024-04-09T10:08:48+00:00 | [] | [] | TAGS
#fastai #region-us
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
3. Join the fastai community on the ... | [
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text-generation | transformers |
# MeliodasPercival_01_Neuralsirkrishnaexperiment26Experiment24
MeliodasPercival_01_Neuralsirkrishnaexperiment26Experiment24 is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/Neuralsirkrishnaexperiment26Experiment24-7B](htt... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_Neuralsirkrishnaexperiment26Experiment24", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/Neuralsirkrishnaexperiment26Experiment24-7B"], "inference": false, "model_creator": "Mazi... | MaziyarPanahi/MeliodasPercival_01_Neuralsirkrishnaexperiment26Experiment24 | null | [
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"safetensors",
"mistral",
"text-generation",
"Safetensors",
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"merge",
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"base_model:automerger/Neuralsirkrishnaexperiment26Experiment24-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T10:09:29+00:00 | [] | [] | TAGS
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|
# MeliodasPercival_01_Neuralsirkrishnaexperiment26Experiment24
MeliodasPercival_01_Neuralsirkrishnaexperiment26Experiment24 is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/Neuralsirkrishnaexperiment26Experiment24-7B
## Usage
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text-generation | transformers |
# NeuralsirkrishnaShadow_ShadowYam
NeuralsirkrishnaShadow_ShadowYam is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/ShadowYam-7B](https://huggingface.co/automerger/ShadowYam-7B)
## 💻 Usage
```python
!pip insta... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_ShadowYam", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/ShadowYam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantize... | MaziyarPanahi/NeuralsirkrishnaShadow_ShadowYam | null | [
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"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T10:10:19+00:00 | [] | [] | TAGS
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|
# NeuralsirkrishnaShadow_ShadowYam
NeuralsirkrishnaShadow_ShadowYam is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/ShadowYam-7B
## Usage
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text-generation | transformers |
# YamshadowInex12_Inex12Yamshadow
YamshadowInex12_Inex12Yamshadow is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/Inex12Yamshadow-7B](https://huggingface.co/automerger/Inex12Yamshadow-7B)
## 💻 Usage
```python
!pip install -... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_Inex12Yamshadow", "base_model": ["automerger/YamshadowInex12-7B", "automerger/Inex12Yamshadow-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_... | MaziyarPanahi/YamshadowInex12_Inex12Yamshadow | null | [
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"base_model:automerger/Inex12Yamshadow-7B",
"license:apache-2.0",
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|
# YamshadowInex12_Inex12Yamshadow
YamshadowInex12_Inex12Yamshadow is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/Inex12Yamshadow-7B
## Usage
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text-generation | transformers |
# Experiment28M7_ShadowYamshadow
Experiment28M7_ShadowYamshadow is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/ShadowYamshadow-7B](https://huggingface.co/automerger/ShadowYamshadow-7B)
## 💻 Usage
```python
!pip install -qU t... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_ShadowYamshadow", "base_model": ["automerger/Experiment28M7-7B", "automerger/ShadowYamshadow-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by... | MaziyarPanahi/Experiment28M7_ShadowYamshadow | null | [
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"license:apache-2.0",
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"region:us"
] | null | 2024-04-09T10:10:24+00:00 | [] | [] | TAGS
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|
# Experiment28M7_ShadowYamshadow
Experiment28M7_ShadowYamshadow is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/ShadowYamshadow-7B
## Usage
| [
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text-generation | transformers |
# YamshadowStrangemerges_32_Experiment26Yamshadow
YamshadowStrangemerges_32_Experiment26Yamshadow is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/Experiment26Yamshadow-7B](https://huggingface.co/automerger/Ex... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_Experiment26Yamshadow", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/Experiment26Yamshadow-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag"... | MaziyarPanahi/YamshadowStrangemerges_32_Experiment26Yamshadow | null | [
"transformers",
"safetensors",
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"text-generation",
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"base_model:automerger/YamshadowStrangemerges_32-7B",
"base_model:automerger/Experiment26Yamshadow-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T10:10:35+00:00 | [] | [] | TAGS
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|
# YamshadowStrangemerges_32_Experiment26Yamshadow
YamshadowStrangemerges_32_Experiment26Yamshadow is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/Experiment26Yamshadow-7B
## Usage
| [
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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. -->
# emotion-analysis-3000
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-unc... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["dair-ai/emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "emotion-analysis-3000", "results": []}]} | erlend123/emotion-analysis | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:dair-ai/emotion",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T10:11:19+00:00 | [] | [
"en"
] | TAGS
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| emotion-analysis-3000
=====================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3205
* Accuracy: 0.9015
* F1: 0.9014
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\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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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": []} | hyadess/gemma-2b-it-PCA1-finetuned | 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": []} | dragoa/mistral_prompt_recovery_finetuned | 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": []} | jwpark33/piqa_FT_Qwen-1.8B_layer24_w4a8 | null | [
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|
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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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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | DragosGorduza/FRPile_GPL_test_pipeline_DragosGorduza-FRPile_MLM_Basel-GPT3_BASEL_FULL-notrescaled_80000 | null | [
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#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
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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. -->
# t5-small-finetuned-manimml
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "t5-small-finetuned-manimml", "results": []}]} | BienThuy/t5-small-finetuned-manimml | null | [
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| t5-small-finetuned-manimml
==========================
This model is a fine-tuned version of t5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0265
* Rouge1: 26.6541
* Rouge2: 21.4995
* Rougel: 26.6415
* Rougelsum: 26.6456
* Gen Len: 19.0
Model description
-----------... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="dyu200206/q-FrozenLake-v1-8x8-NonSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional ... | {"tags": ["FrozenLake-v1-8x8-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-8x8-NonSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-8x8-no_slippery", "type":... | dyu200206/q-FrozenLake-v1-8x8-NonSlippery | null | [
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"reinforcement-learning",
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#FrozenLake-v1-8x8-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | DragosGorduza/FRPile_GPL_test_pipeline_DragosGorduza-FRPile_MLM_Basel-GPT3_BASEL_FULL-notrescaled_130000 | null | [
"sentence-transformers",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
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#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can ... | [
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automatic-speech-recognition | transformers |
# XLS-R-300M Uzbek CV8
Ushbu model [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) asosida MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - UZ datasetidan foydalangan holda Transfer Learning usuli orqali ngramm modeli asosida o'zbek tili uchun fine-tuning qilingan.
Model quydagi natijalarga e... | {"language": ["uz"], "license": "apache-2.0", "tags": ["automatic-speech-recognition", "generated_from_trainer", "hf-asr-leaderboard", "mozilla-foundation/common_voice_8_0", "robust-speech-event"], "datasets": ["mozilla-foundation/common_voice_8_0"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name"... | zohirjonsharipov/xls-r-uzbek-cv8 | null | [
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====================
Ushbu model facebook/wav2vec2-xls-r-300m asosida MOZILLA-FOUNDATION/COMMON\_VOICE\_8\_0 - UZ datasetidan foydalangan holda Transfer Learning usuli orqali ngramm modeli asosida o'zbek tili uchun fine-tuning qilingan.
Model quydagi natijalarga erishgan:
* Loss: 0.3063
* Wer: ... | [
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text-generation | transformers |
# M7Yamshadowexperiment28_AlloyingotneoyExperiment24
M7Yamshadowexperiment28_AlloyingotneoyExperiment24 is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/AlloyingotneoyExperiment24-7B](https://huggingface.co/autome... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_AlloyingotneoyExperiment24", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/AlloyingotneoyExperiment24-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipelin... | MaziyarPanahi/M7Yamshadowexperiment28_AlloyingotneoyExperiment24 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
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"base_model:automerger/AlloyingotneoyExperiment24-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T10:18:50+00:00 | [] | [] | TAGS
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|
# M7Yamshadowexperiment28_AlloyingotneoyExperiment24
M7Yamshadowexperiment28_AlloyingotneoyExperiment24 is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/AlloyingotneoyExperiment24-7B
## Usage
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="dyu200206/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/... | dyu200206/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-09T10:18:59+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | DragosGorduza/FRPile_GPL_test_pipeline_DragosGorduza-FRPile_MLM_Basel-GPT3_BASEL_FULL-notrescaled_100000 | null | [
"sentence-transformers",
"safetensors",
"bert",
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"sentence-similarity",
"transformers",
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"region:us"
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#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can ... | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | DragosGorduza/FRPile_GPL_test_pipeline_DragosGorduza-FRPile_MLM_Basel-GPT3_BASEL_FULL-notrescaled_110000 | null | [
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|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can ... | [
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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": []} | OwOpeepeepoopoo/lfg4 | 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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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": []} | hinny-coder/hinny-coder-6.7b-solidity-final | 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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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | DragosGorduza/FRPile_GPL_test_pipeline_DragosGorduza-FRPile_MLM_Basel-GPT3_BASEL_FULL-notrescaled_140000 | null | [
"sentence-transformers",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
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"region:us"
] | null | 2024-04-09T10:21:38+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can ... | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | DragosGorduza/FRPile_GPL_test_pipeline_DragosGorduza-FRPile_MLM_Basel-GPT3_BASEL_FULL-notrescaled_10000 | null | [
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"bert",
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#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can ... | [
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object-detection | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results_hugging_face
This model is a fine-tuned version of [ssamperr/results_hugging_face](https://huggingface.co/ssamperr/resul... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "ssamperr/results_hugging_face", "model-index": [{"name": "results_hugging_face", "results": []}]} | ssamperr/results_hugging_face | null | [
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|
# results_hugging_face
This model is a fine-tuned version of ssamperr/results_hugging_face on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyper... | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | DragosGorduza/FRPile_GPL_test_pipeline_DragosGorduza-FRPile_MLM_Basel-GPT3_BASEL_FULL-notrescaled_20000 | null | [
"sentence-transformers",
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#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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Using this model becomes easy when you have sentence-transformers installed:
Then you can ... | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | DragosGorduza/FRPile_GPL_test_pipeline_DragosGorduza-FRPile_MLM_Basel-GPT3_BASEL_FULL-notrescaled_40000 | null | [
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|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can ... | [
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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. -->
# my_awesome_asr_mind_model
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["minds14"], "metrics": ["wer"], "model-index": [{"name": "my_awesome_asr_mind_model", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "minds14", "type": "minds14", "confi... | pkpratik/my_awesome_asr_mind_model | null | [
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| my\_awesome\_asr\_mind\_model
=============================
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: 3.0295
* Wer: 1.0
Model description
-----------------
More information needed
Intended uses & limita... | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | DragosGorduza/FRPile_GPL_test_pipeline_DragosGorduza-FRPile_MLM_Basel-GPT3_BASEL_FULL-notrescaled_50000 | null | [
"sentence-transformers",
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"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T10:27:42+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can ... | [
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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": []} | hinny-coder/hinny-coder-6.7b-solidity-refine | null | [
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"1910.09700"
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
Tried depth-upscaling Cosmo-1b by duplicating 6 layers, then LISA-training on a dataset reasonably similar to the original one in a... | {"tags": ["generated_from_trainer"], "base_model": "Lambent/cosmo-upscale", "model-index": [{"name": "lisa-out", "results": []}]} | Lambent/cosmo-upscale-lisa | null | [
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Not sure if it worked out exactly how I pictured but the nous eval's not overall much worse than the original at least.
(Took I think about 8 hours for, I wa... | [
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sentence-similarity | sentence-transformers |
# timschutte/dv_transformer2
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model beco... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | timschutte/dv_transformer2 | null | [
"sentence-transformers",
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"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T10:29:12+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# timschutte/dv_transformer2
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
... | [
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