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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. -->
# MoE-leaf-disease-convnextv2-base-22k-224
This model is a fine-tuned version of [](https://huggingface.co/) on the imagefolder da... | {"tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "model-index": [{"name": "MoE-leaf-disease-convnextv2-base-22k-224", "results": []}]} | louislu9911/MoE-leaf-disease-convnextv2-base-22k-224 | null | [
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| MoE-leaf-disease-convnextv2-base-22k-224
========================================
This model is a fine-tuned version of [](URL on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3415
* Accuracy: 0.8827
Model description
-----------------
More information needed
Inte... | [
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text-generation | transformers | # [MaziyarPanahi/gemma-1.1-2b-it-GGUF](https://huggingface.co/MaziyarPanahi/gemma-1.1-2b-it-GGUF)
- Model creator: [google](https://huggingface.co/google)
- Original model: [google/gemma-1.1-2b-it](https://huggingface.co/google/gemma-1.1-2b-it)
## Description
[MaziyarPanahi/gemma-1.1-2b-it-GGUF](https://huggingface.co... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "gemma", "text-generation", "conversational", "arxiv:2312.11805", "arxiv:2009.03300", "arxiv:1905.07830", "arxiv:1911.11641", "arxiv:1904.09728", "arxiv:1905.10044", "arxiv:1907.10641", "arxiv:1811.00937"... | MaziyarPanahi/gemma-1.1-2b-it-GGUF | null | [
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- Model creator: google
- Original model: google/gemma-1.1-2b-it
## Description
MaziyarPanahi/gemma-1.1-2b-it-GGUF contains GGUF format model files for google/gemma-1.1-2b-it.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GGUF models:
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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text-to-audio | 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. -->
# malay_checkpoint
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) o... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "malay_checkpoint", "results": []}]} | mikhail-panzo/malay_checkpoint | null | [
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| malay\_checkpoint
=================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3983
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## 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": []} | tomaszki/stablelm-18 | null | [
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text-generation | transformers |
# M7Yamshadowexperiment28_Experiment24Alloyingotneoy
M7Yamshadowexperiment28_Experiment24Alloyingotneoy is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/Experiment24Alloyingotneoy-7B](https://huggingface.co/autome... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Experiment24Alloyingotneoy", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Experiment24Alloyingotneoy-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipelin... | MaziyarPanahi/M7Yamshadowexperiment28_Experiment24Alloyingotneoy | null | [
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|
# M7Yamshadowexperiment28_Experiment24Alloyingotneoy
M7Yamshadowexperiment28_Experiment24Alloyingotneoy is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/Experiment24Alloyingotneoy-7B
## Usage
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text-generation | transformers |
# Uploaded model
- **Developed by:** Awesomeluc
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-v0.2
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-v0.2"} | Awesomeluc/CompliAI171A-GGUF | null | [
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document-question-answering | adapter-transformers |
# 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... | {"license": "gpl-3.0", "library_name": "adapter-transformers", "datasets": ["microsoft/orca-math-word-problems-200k"], "pipeline_tag": "document-question-answering"} | S124/ChatGPT-R1 | 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": []} | tomaszki/stablelm-18-a | 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": []} | 0x0dad0/test07 | 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": []} | tomaszki/stablelm-18-b | null | [
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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.
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- Funded by [optional]:
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# crisis101/CS4120final
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/dis... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "crisis101/CS4120final", "results": []}]} | crisis101/CS4120final | null | [
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| crisis101/CS4120final
=====================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 6.1480
* Train Accuracy: 0.0
* Validation Loss: 10.7341
* Validation Accuracy: 0.0
* Epoch: 2
Model des... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'Adam', 'weight\\_decay': None, 'clipnorm': None, 'global\\_clipnorm': None, 'clipvalue': None, 'use\\_ema': False, 'ema\\_momentum': 0.99, 'ema\\_overwrite\\_frequency': None, 'jit\\_compile': Fal... | [
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null | null |
# BasedBots/TinyMistral-248M-v2.5-Q4_K_M-GGUF
This model was converted to GGUF format from [`Locutusque/TinyMistral-248M-v2.5`](https://huggingface.co/Locutusque/TinyMistral-248M-v2.5) using llama.cpp.
Refer to the [original model card](https://huggingface.co/Locutusque/TinyMistral-248M-v2.5) for more details on the m... | {"language": ["en", "code"], "license": "apache-2.0", "tags": ["merge", "computer science", "llama-cpp"], "datasets": ["open-phi/programming_books_llama", "open-phi/textbooks"], "inference": {"parameters": {"do_sample": true, "temperature": 0.2, "top_p": 0.14, "top_k": 12, "max_new_tokens": 250, "repetition_penalty": 1... | BasedBots/TinyMistral-248M-v2.5-Q4_K_M-GGUF | null | [
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"dataset:open-phi/textbooks",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-09T16:52:22+00:00 | [] | [
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#gguf #merge #computer science #llama-cpp #en #code #dataset-open-phi/programming_books_llama #dataset-open-phi/textbooks #license-apache-2.0 #model-index #region-us
|
# BasedBots/TinyMistral-248M-v2.5-Q4_K_M-GGUF
This model was converted to GGUF format from 'Locutusque/TinyMistral-248M-v2.5' using URL.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can also ... | [
"# BasedBots/TinyMistral-248M-v2.5-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Locutusque/TinyMistral-248M-v2.5' using URL.\nRefer to the original model card for more details on the model.",
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"# BasedBots/TinyMistral-248M-v2.5-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Locutusque/TinyMistral-248M-v2.5' using UR... | [
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text-generation | transformers |
# YamshadowStrangemerges_32_Experiment24Experiment28
YamshadowStrangemerges_32_Experiment24Experiment28 is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/Experiment24Experiment28-7B](https://huggingface.co/auto... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_Experiment24Experiment28", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/Experiment24Experiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipelin... | MaziyarPanahi/YamshadowStrangemerges_32_Experiment24Experiment28 | null | [
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"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/YamshadowStrangemerges_32-7B",
"base_model:automerger/Experiment24Experiment28-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T16:52:47+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/Experiment24Experiment28-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowStrangemerges_32_Experiment24Experiment28
YamshadowStrangemerges_32_Experiment24Experiment28 is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* 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": []} | cackerman/rewrites_mistral_8x7B_Instruct_4bit_ft | 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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# NeuralsirkrishnaShadow_Experiment27Pastiche
NeuralsirkrishnaShadow_Experiment27Pastiche is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/Experiment27Pastiche-7B](https://huggingface.co/automerger/Experiment27Pasti... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_Experiment27Pastiche", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/Experiment27Pastiche-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-... | MaziyarPanahi/NeuralsirkrishnaShadow_Experiment27Pastiche | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
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"base_model:automerger/Experiment27Pastiche-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T16:58:44+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/Experiment27Pastiche-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# NeuralsirkrishnaShadow_Experiment27Pastiche
NeuralsirkrishnaShadow_Experiment27Pastiche is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/Experiment27Pastiche-7B
## Usage
| [
"# NeuralsirkrishnaShadow_Experiment27Pastiche\n\nNeuralsirkrishnaShadow_Experiment27Pastiche is a merge of the following models:\n* automerger/NeuralsirkrishnaShadow-7B\n* automerger/Experiment27Pastiche-7B",
"## Usage"
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null | null |
# BasedBots/TinyMistral-248M-v2.5-Instruct-Q4_K_M-GGUF
This model was converted to GGUF format from [`Locutusque/TinyMistral-248M-v2.5-Instruct`](https://huggingface.co/Locutusque/TinyMistral-248M-v2.5-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space... | {"language": ["en"], "license": "apache-2.0", "tags": ["chemistry", "biology", "not-for-all-audiences", "merge", "code", "llama-cpp", "gguf-my-repo"], "datasets": ["Locutusque/hercules-v1.0", "Open-Orca/SlimOrca-Dedup"], "base_model": "Locutusque/TinyMistral-248M-v2.5", "inference": {"parameters": {"do_sample": true, "... | BasedBots/TinyMistral-248M-v2.5-Instruct-Q4_K_M-GGUF | null | [
"gguf",
"chemistry",
"biology",
"not-for-all-audiences",
"merge",
"code",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:Locutusque/hercules-v1.0",
"dataset:Open-Orca/SlimOrca-Dedup",
"base_model:Locutusque/TinyMistral-248M-v2.5",
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T16:59:10+00:00 | [] | [
"en"
] | TAGS
#gguf #chemistry #biology #not-for-all-audiences #merge #code #llama-cpp #gguf-my-repo #en #dataset-Locutusque/hercules-v1.0 #dataset-Open-Orca/SlimOrca-Dedup #base_model-Locutusque/TinyMistral-248M-v2.5 #license-apache-2.0 #region-us
|
# BasedBots/TinyMistral-248M-v2.5-Instruct-Q4_K_M-GGUF
This model was converted to GGUF format from 'Locutusque/TinyMistral-248M-v2.5-Instruct' 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 ... | [
"# BasedBots/TinyMistral-248M-v2.5-Instruct-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Locutusque/TinyMistral-248M-v2.5-Instruct' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke... | [
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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. -->
# mistral-7b-hf-platypus_vxxiii-chat
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mist... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-7b-hf-platypus_vxxiii-chat", "results": []}]} | NassimB/mistral-7b-hf-platypus_vxxiii-chat | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T17:00:27+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# mistral-7b-hf-platypus_vxxiii-chat
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
"# mistral-7b-hf-platypus_vxxiii-chat\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## ... | [
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text-generation | transformers |
# Experiment28M7_ShadowYam
Experiment28M7_ShadowYam is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/ShadowYam-7B](https://huggingface.co/automerger/ShadowYam-7B)
## 💻 Usage
```python
!pip install -qU transformers accelerate
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_ShadowYam", "base_model": ["automerger/Experiment28M7-7B", "automerger/ShadowYam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by": "MaziyarP... | MaziyarPanahi/Experiment28M7_ShadowYam | null | [
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"text-generation",
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"base_model:automerger/ShadowYam-7B",
"license:apache-2.0",
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|
# Experiment28M7_ShadowYam
Experiment28M7_ShadowYam is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/ShadowYam-7B
## Usage
| [
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text-generation | transformers |
# M7Yamshadowexperiment28_CalmeInex12
M7Yamshadowexperiment28_CalmeInex12 is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/CalmeInex12-7B](https://huggingface.co/automerger/CalmeInex12-7B)
## 💻 Usage
```pytho... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_CalmeInex12", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/CalmeInex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "qu... | MaziyarPanahi/M7Yamshadowexperiment28_CalmeInex12 | null | [
"transformers",
"safetensors",
"mistral",
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"base_model:automerger/CalmeInex12-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T17:03:57+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/CalmeInex12-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# M7Yamshadowexperiment28_CalmeInex12
M7Yamshadowexperiment28_CalmeInex12 is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/CalmeInex12-7B
## Usage
| [
"# M7Yamshadowexperiment28_CalmeInex12\n\nM7Yamshadowexperiment28_CalmeInex12 is a merge of the following models:\n* automerger/M7Yamshadowexperiment28-7B\n* automerger/CalmeInex12-7B",
"## Usage"
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"# M7Yamshadowexperiment28_CalmeInex12\n\nM7Yamshadowexperime... | [
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question-answering | 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_qa_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "my_awesome_qa_model", "results": []}]} | KrugMatt/my_awesome_qa_model | null | [
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| my\_awesome\_qa\_model
======================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8859
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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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. -->
# distilbert-base-uncased-lora-text-classification
This model is a fine-tuned version of [distilbert-base-uncased](https://hugging... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-lora-text-classification", "results": []}]} | malithimith/distilbert-base-uncased-lora-text-classification | null | [
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"tensorboard",
"safetensors",
"generated_from_trainer",
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"license:apache-2.0",
"region:us"
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #region-us
| distilbert-base-uncased-lora-text-classification
================================================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9748
* Accuracy: {'accuracy': 0.88}
Model description
------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Textual inversion text2image fine-tuning - marco-schouten/textual_inversion_cat
These are textual inversion adaption wei... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion", "diffusers-training"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | marco-schouten/textual_inversion_cat | null | [
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"diffusers:StableDiffusionPipeline",
... | null | 2024-04-09T17:04:46+00:00 | [] | [] | TAGS
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|
# Textual inversion text2image fine-tuning - marco-schouten/textual_inversion_cat
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide exam... | [
"# Textual inversion text2image fine-tuning - marco-schouten/textual_inversion_cat\nThese are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.",
"## Intended uses & limitations",
"#### How to use",
"#### Limitations and bias\n\n[TODO: pr... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jondurbin/airoboros-l2-70b-2.1-creative
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/a... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "jondurbin/airoboros-l2-70b-2.1-creative", "quantized_by": "mradermacher"} | mradermacher/airoboros-l2-70b-2.1-creative-GGUF | null | [
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] | TAGS
#transformers #gguf #en #base_model-jondurbin/airoboros-l2-70b-2.1-creative #license-llama2 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #en #base_model-jondurbin/airoboros-l2-70b-2.1-creative #license-llama2 #endpoints_compatible #region-us \n"
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null | null | Phishing detection model finetuned on a custom dataset achieving 99,10% accuracy.
Works best when used with the Mistral 7B Instruct v0.2 template. | {} | lrsrthnbch/DetectLLaMa | null | [
"gguf",
"region:us"
] | null | 2024-04-09T17:06:49+00:00 | [] | [] | TAGS
#gguf #region-us
| Phishing detection model finetuned on a custom dataset achieving 99,10% accuracy.
Works best when used with the Mistral 7B Instruct v0.2 template. | [] | [
"TAGS\n#gguf #region-us \n"
] | [
9
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text-generation | transformers |
# YamshadowStrangemerges_32_ShadowYam
YamshadowStrangemerges_32_ShadowYam is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/ShadowYam-7B](https://huggingface.co/automerger/ShadowYam-7B)
## 💻 Usage
```pytho... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_ShadowYam", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/ShadowYam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "qu... | MaziyarPanahi/YamshadowStrangemerges_32_ShadowYam | null | [
"transformers",
"safetensors",
"mistral",
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"base_model:automerger/ShadowYam-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T17:06:52+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/ShadowYam-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowStrangemerges_32_ShadowYam
YamshadowStrangemerges_32_ShadowYam is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/ShadowYam-7B
## Usage
| [
"# YamshadowStrangemerges_32_ShadowYam\n\nYamshadowStrangemerges_32_ShadowYam is a merge of the following models:\n* automerger/YamshadowStrangemerges_32-7B\n* automerger/ShadowYam-7B",
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null | null | # Image Resize for ComfyUI
This custom node provides various tools for resizing images. The goal is resizing without distorting proportions, yet without having to perform any calculations with the size of the original image. If a mask is present, it is resized and modified along with the image.
![A ComfyUI node title... | {} | 01633623546a/panda | null | [
"region:us"
] | null | 2024-04-09T17:09:06+00:00 | [] | [] | TAGS
#region-us
| # Image Resize for ComfyUI
This custom node provides various tools for resizing images. The goal is resizing without distorting proportions, yet without having to perform any calculations with the size of the original image. If a mask is present, it is resized and modified along with the image.
!A ComfyUI node titled... | [
"# Image Resize for ComfyUI\n\nThis custom node provides various tools for resizing images. The goal is resizing without distorting proportions, yet without having to perform any calculations with the size of the original image. If a mask is present, it is resized and modified along with the image.\n\n!A ComfyUI no... | [
"TAGS\n#region-us \n",
"# Image Resize for ComfyUI\n\nThis custom node provides various tools for resizing images. The goal is resizing without distorting proportions, yet without having to perform any calculations with the size of the original image. If a mask is present, it is resized and modified along with th... | [
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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": []} | Abhishek107/Azure_metric_log2 | null | [
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"region:us"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for akṣara
akṣara, is a Micro Language Model ((µ-LM)) and is a fine-tuned version of the [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) model. The model is fine-tuned using proprietary and open-source agricultural data. The data is specific to five countries in th... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["finetuned", "peft", "trl", "sft", "qlora", "regenerative agriculture", "climate smart agriculture"], "pipeline_tag": "text-generation", "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "aksara_v1", "resul... | cropinailab/aksara_v1 | null | [
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"en... | null | 2024-04-09T17:12:41+00:00 | [] | [
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# Model Card for akṣara
akṣara, is a Micro Language Model ((µ-LM)) and is a fine-tuned version of the Mistral-7B-Instruct-v0.2 model. The model is fine-tuned using proprietary and open-source agricultural data. The data is specific to five countries in the global south: India, Bangladesh, Sri Lanka, Pakistan and Ne... | [
"# Model Card for akṣara\n\nakṣara, is a Micro Language Model ((µ-LM)) and is a fine-tuned version of the Mistral-7B-Instruct-v0.2 model. The model is fine-tuned using proprietary and open-source agricultural data. The data is specific to five countries in the global south: India, Bangladesh, Sri Lanka, Pakistan an... | [
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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-act2pas
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It ach... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "t5-small-act2pas", "results": []}]} | Pushparaj2811/t5-small-act2pas | null | [
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| t5-small-act2pas
================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1036
* Rouge1: 96.7196
* Rouge2: 94.1746
* Rougel: 95.2986
* Rougelsum: 95.3129
* Gen Len: 16.5466
Model description
-----------------
More i... | [
"### 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: 3\n* mixed\\_prec... | [
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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": []} | Naying0206/t5-lora-ar | null | [
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|
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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text-generation | transformers |
# NeuralsirkrishnaShadow_Experiment27Experiment28
NeuralsirkrishnaShadow_Experiment27Experiment28 is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/Experiment27Experiment28-7B](https://huggingface.co/automerger/Exper... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_Experiment27Experiment28", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/Experiment27Experiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag"... | MaziyarPanahi/NeuralsirkrishnaShadow_Experiment27Experiment28 | null | [
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|
# NeuralsirkrishnaShadow_Experiment27Experiment28
NeuralsirkrishnaShadow_Experiment27Experiment28 is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/Experiment27Experiment28-7B
## Usage
| [
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null | transformers |
# Uploaded model
- **Developed by:** JoPmt
- **License:** apache-2.0
- **Finetuned from model :** unsloth/codegemma-7b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/codegemma-7b-bnb-4bit"} | JoPmt/lora_mod_gemcod | null | [
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|
# Uploaded model
- Developed by: JoPmt
- License: apache-2.0
- Finetuned from model : unsloth/codegemma-7b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# DreamBooth - Premdass/dogbooth
This is a dreambooth model derived from stabilityai/stable-diffusion-2-1. The weights we... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "stabilityai/stable-diffusion-2-1", "inference": true, "instance_prompt": "a photo of [v]dog"} | Premdass/dogbooth | null | [
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|
# DreamBooth - Premdass/dogbooth
This is a dreambooth model derived from stabilityai/stable-diffusion-2-1. The weights were trained on a photo of [v]dog using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
## Intended uses & limitations
###... | [
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text-generation | transformers |
# Experiment28M7_ShadowNeuralsirkrishna
Experiment28M7_ShadowNeuralsirkrishna is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/ShadowNeuralsirkrishna-7B](https://huggingface.co/automerger/ShadowNeuralsirkrishna-7B)
## 💻 Usage
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_ShadowNeuralsirkrishna", "base_model": ["automerger/Experiment28M7-7B", "automerger/ShadowNeuralsirkrishna-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation",... | MaziyarPanahi/Experiment28M7_ShadowNeuralsirkrishna | null | [
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|
# Experiment28M7_ShadowNeuralsirkrishna
Experiment28M7_ShadowNeuralsirkrishna is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/ShadowNeuralsirkrishna-7B
## Usage
| [
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text-generation | transformers |
# M7Yamshadowexperiment28_PasticheNeuralsirkrishna
M7Yamshadowexperiment28_PasticheNeuralsirkrishna is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/PasticheNeuralsirkrishna-7B](https://huggingface.co/automerger/P... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_PasticheNeuralsirkrishna", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/PasticheNeuralsirkrishna-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_ta... | MaziyarPanahi/M7Yamshadowexperiment28_PasticheNeuralsirkrishna | null | [
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|
# M7Yamshadowexperiment28_PasticheNeuralsirkrishna
M7Yamshadowexperiment28_PasticheNeuralsirkrishna is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/PasticheNeuralsirkrishna-7B
## Usage
| [
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text-generation | transformers |
# YamshadowStrangemerges_32_ShadowNeuralsirkrishna
YamshadowStrangemerges_32_ShadowNeuralsirkrishna is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/ShadowNeuralsirkrishna-7B](https://huggingface.co/automerger... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_ShadowNeuralsirkrishna", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/ShadowNeuralsirkrishna-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_ta... | MaziyarPanahi/YamshadowStrangemerges_32_ShadowNeuralsirkrishna | null | [
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|
# YamshadowStrangemerges_32_ShadowNeuralsirkrishna
YamshadowStrangemerges_32_ShadowNeuralsirkrishna is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/ShadowNeuralsirkrishna-7B
## Usage
| [
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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_6942 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
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question-answering | 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. -->
# lavan
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "base_model": "deepset/roberta-base-squad2", "model-index": [{"name": "lavan", "results": []}]} | LavanyaM/lavan | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"question-answering",
"generated_from_trainer",
"base_model:deepset/roberta-base-squad2",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T17:22:36+00:00 | [] | [] | TAGS
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| lavan
=====
This model is a fine-tuned version of deepset/roberta-base-squad2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5847
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
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: 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: 3",
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | glebvyazov/LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-09T17:26:24+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
text-generation | transformers |
# AUTOCODIT
# Description
This model represents an innovative fusion of three cutting-edge language models: **BigL-7B**, **Code-Mistral-7B**, and **mistral-7b-anthropic**, leveraging the strengths of each to create a more powerful and versatile tool. The integration process employs the TIES merge method, meticulousl... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": ["HuggingFaceH4/mistral-7b-anthropic", "ajibawa-2023/Code-Mistral-7B", "Undi95/BigL-7B"]} | adowu/autocodit | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
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|
# AUTOCODIT
# Description
This model represents an innovative fusion of three cutting-edge language models: BigL-7B, Code-Mistral-7B, and mistral-7b-anthropic, leveraging the strengths of each to create a more powerful and versatile tool. The integration process employs the TIES merge method, meticulously combining ... | [
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text-generation | transformers |
## Llamacpp Quantizations of codegemma-7b
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2589">b2589</a> for quantization.
Original model: https://huggingface.co/google/codegemma-7b
All quants made using imatrix option with... | {"license": "gemma", "library_name": "transformers", "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and click below... | bartowski/codegemma-7b-GGUF | null | [
"transformers",
"gguf",
"text-generation",
"license:gemma",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T17:29:12+00:00 | [] | [] | TAGS
#transformers #gguf #text-generation #license-gemma #endpoints_compatible #region-us
| Llamacpp Quantizations of codegemma-7b
--------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
No prompt template for this model.
Download a fi... | [] | [
"TAGS\n#transformers #gguf #text-generation #license-gemma #endpoints_compatible #region-us \n"
] | [
24
] | [
"TAGS\n#transformers #gguf #text-generation #license-gemma #endpoints_compatible #region-us \n"
] |
text-generation | transformers |
# NeuralsirkrishnaShadow_Inex12Experiment28
NeuralsirkrishnaShadow_Inex12Experiment28 is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/Inex12Experiment28-7B](https://huggingface.co/automerger/Inex12Experiment28-7B)
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_Inex12Experiment28", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/Inex12Experiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-gene... | MaziyarPanahi/NeuralsirkrishnaShadow_Inex12Experiment28 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/NeuralsirkrishnaShadow-7B",
"base_model:automerger/Inex12Experiment28-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T17:29:23+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/Inex12Experiment28-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# NeuralsirkrishnaShadow_Inex12Experiment28
NeuralsirkrishnaShadow_Inex12Experiment28 is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/Inex12Experiment28-7B
## Usage
| [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | ricardoams/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-09T17:30:56+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
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": []} | ayat29/gemma-finetuned-task3-2 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T17:31:53+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# NeRUBioS_xlm_RoBERTa_base_Training_Testing
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingfa... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "FacebookAI/xlm-roberta-base", "model-index": [{"name": "NeRUBioS_xlm_RoBERTa_base_Training_Testing", "results": []}]} | ajtamayoh/NeRUBioS_xlm_RoBERTa_base_Training_Testing | null | [
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:FacebookAI/xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T17:32:07+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-FacebookAI/xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| NeRUBioS\_xlm\_RoBERTa\_base\_Training\_Testing
===============================================
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3585
* Negref Precision: 0.5638
* Negref Recall: 0.6035
* Negref... | [
"### 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: 12",
"### Trainin... | [
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text-generation | transformers |
# Experiment28M7_Inex16Calme
Experiment28M7_Inex16Calme is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/Inex16Calme-7B](https://huggingface.co/automerger/Inex16Calme-7B)
## 💻 Usage
```python
!pip install -qU transformers acce... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_Inex16Calme", "base_model": ["automerger/Experiment28M7-7B", "automerger/Inex16Calme-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by": "Mazi... | MaziyarPanahi/Experiment28M7_Inex16Calme | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
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"base_model:automerger/Inex16Calme-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T17:32:21+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/Inex16Calme-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_Inex16Calme
Experiment28M7_Inex16Calme is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/Inex16Calme-7B
## Usage
| [
"# Experiment28M7_Inex16Calme\n\nExperiment28M7_Inex16Calme is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/Inex16Calme-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="joigalcar/Taxi3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
e... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- 2.... | joigalcar/Taxi3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-09T17:33:10+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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"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] |
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": []} | telodigoensergio/phi2-ds3.5-merged3 | null | [
"transformers",
"safetensors",
"phi",
"text-generation",
"custom_code",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-09T17:34:50+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #phi #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-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... | [
"# Model Card for Model ID",
"## Model Details",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Undi95/Lewd-Sydney-20B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw"], "base_model": "Undi95/Lewd-Sydney-20B", "quantized_by": "mradermacher"} | mradermacher/Lewd-Sydney-20B-GGUF | null | [
"transformers",
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"nsfw",
"en",
"base_model:Undi95/Lewd-Sydney-20B",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T17:34:50+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #not-for-all-audiences #nsfw #en #base_model-Undi95/Lewd-Sydney-20B #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #not-for-all-audiences #nsfw #en #base_model-Undi95/Lewd-Sydney-20B #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
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59
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] |
text-generation | transformers |
# YamshadowStrangemerges_32_AlloyingotneoyExperiment24
YamshadowStrangemerges_32_AlloyingotneoyExperiment24 is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/AlloyingotneoyExperiment24-7B](https://huggingface.c... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_AlloyingotneoyExperiment24", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/AlloyingotneoyExperiment24-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pip... | MaziyarPanahi/YamshadowStrangemerges_32_AlloyingotneoyExperiment24 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
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"base_model:automerger/YamshadowStrangemerges_32-7B",
"base_model:automerger/AlloyingotneoyExperiment24-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T17:35:05+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/AlloyingotneoyExperiment24-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowStrangemerges_32_AlloyingotneoyExperiment24
YamshadowStrangemerges_32_AlloyingotneoyExperiment24 is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/AlloyingotneoyExperiment24-7B
## Usage
| [
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"## Usage"
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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. -->
# bert2bert
This model is a fine-tuned version of [mrm8488/bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "mrm8488/bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization", "model-index": [{"name": "bert2bert", "results": []}]} | SuramyaPokharel/bert2bert | null | [
"transformers",
"safetensors",
"encoder-decoder",
"text2text-generation",
"generated_from_trainer",
"base_model:mrm8488/bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T17:35:11+00:00 | [] | [] | TAGS
#transformers #safetensors #encoder-decoder #text2text-generation #generated_from_trainer #base_model-mrm8488/bert-mini2bert-mini-finetuned-cnn_daily_mail-summarization #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert2bert
=========
This model is a fine-tuned version of mrm8488/bert-mini2bert-mini-finetuned-cnn\_daily\_mail-summarization on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1196
Model description
-----------------
More information needed
Intended uses & limitations
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
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text-generation | transformers |
# M7Yamshadowexperiment28_Experiment29Pastiche
M7Yamshadowexperiment28_Experiment29Pastiche is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/Experiment29Pastiche-7B](https://huggingface.co/automerger/Experiment29P... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Experiment29Pastiche", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Experiment29Pastiche-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "tex... | MaziyarPanahi/M7Yamshadowexperiment28_Experiment29Pastiche | null | [
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"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/M7Yamshadowexperiment28-7B",
"base_model:automerger/Experiment29Pastiche-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T17:35:20+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/Experiment29Pastiche-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# M7Yamshadowexperiment28_Experiment29Pastiche
M7Yamshadowexperiment28_Experiment29Pastiche is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/Experiment29Pastiche-7B
## Usage
| [
"# M7Yamshadowexperiment28_Experiment29Pastiche\n\nM7Yamshadowexperiment28_Experiment29Pastiche is a merge of the following models:\n* automerger/M7Yamshadowexperiment28-7B\n* automerger/Experiment29Pastiche-7B",
"## Usage"
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('zzIss123/sd-class-butterfli... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | zzIss123/sd-class-butterflies-32 | null | [
"diffusers",
"safetensors",
"pytorch",
"unconditional-image-generation",
"diffusion-models-class",
"license:mit",
"diffusers:DDPMPipeline",
"region:us"
] | null | 2024-04-09T17:36:16+00:00 | [] | [] | TAGS
#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
## 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-bnhzjvv | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:Equall/Saul-Base",
"base_model:HuggingFaceH4/zephyr-7b-beta",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T17:41:44+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-Equall/Saul-Base #base_model-HuggingFaceH4/zephyr-7b-beta #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:
* Equall/Saul-Base
* HuggingFaceH4/zephyr-7b-beta
### Configuration
The following... | [
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text-generation | transformers |
# NeuralsirkrishnaShadow_Experiment24Alloyingotneoy
NeuralsirkrishnaShadow_Experiment24Alloyingotneoy is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/Experiment24Alloyingotneoy-7B](https://huggingface.co/automerger... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_Experiment24Alloyingotneoy", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/Experiment24Alloyingotneoy-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_... | MaziyarPanahi/NeuralsirkrishnaShadow_Experiment24Alloyingotneoy | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/NeuralsirkrishnaShadow-7B",
"base_model:automerger/Experiment24Alloyingotneoy-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T17:43:21+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/Experiment24Alloyingotneoy-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# NeuralsirkrishnaShadow_Experiment24Alloyingotneoy
NeuralsirkrishnaShadow_Experiment24Alloyingotneoy is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/Experiment24Alloyingotneoy-7B
## Usage
| [
"# NeuralsirkrishnaShadow_Experiment24Alloyingotneoy\n\nNeuralsirkrishnaShadow_Experiment24Alloyingotneoy is a merge of the following models:\n* automerger/NeuralsirkrishnaShadow-7B\n* automerger/Experiment24Alloyingotneoy-7B",
"## Usage"
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feature-extraction | transformers | # florian-test-run_9062874564
## Model Description
florian-test-run_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
## Associated Dataset
This the da... | {} | florianhoenicke/florian-test-run_9062874564 | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T17:44:41+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #feature-extraction #endpoints_compatible #region-us
| # florian-test-run_9062874564
## Model Description
florian-test-run_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
## Associated Dataset
This the da... | [
"# florian-test-run_9062874564",
"## Model Description\n\nflorian-test-run_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.",
"## Use Case\nThis model is designed to support various applications in natural language processing and understanding.",
"## Associated ... | [
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"## Model Description\n\nflorian-test-run_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.",
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text-generation | transformers |
<br/><br/>
8bpw/h8 exl2 quantization of [grimjim/infinite-lemonade-SLERP-7B](https://huggingface.co/grimjim/infinite-lemonade-SLERP-7B) using default exllamav2 calibration dataset.
---
**ORIGINAL CARD:**
# infinite-lemonade-SLERP-7B
This is a straightforward merge of two RP-oriented models.
Also available as a ... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Endevor/InfinityRP-v1-7B", "KatyTheCutie/LemonadeRP-4.5.3"]} | JayhC/infinite-lemonade-SLERP-7B-8bpw-h8-exl2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"base_model:Endevor/InfinityRP-v1-7B",
"base_model:KatyTheCutie/LemonadeRP-4.5.3",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T17:45:37+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #base_model-Endevor/InfinityRP-v1-7B #base_model-KatyTheCutie/LemonadeRP-4.5.3 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
<br/><br/>
8bpw/h8 exl2 quantization of grimjim/infinite-lemonade-SLERP-7B using default exllamav2 calibration dataset.
---
ORIGINAL CARD:
# infinite-lemonade-SLERP-7B
This is a straightforward merge of two RP-oriented models.
Also available as a Q8_0 GGUF quant.
Lightly tested with Alpaca format prompts, temp... | [
"# infinite-lemonade-SLERP-7B\n\nThis is a straightforward merge of two RP-oriented models.\n\nAlso available as a Q8_0 GGUF quant.\n\nLightly tested with Alpaca format prompts, temperature 1, and minP 0.01. Although the model claims to have a 32K context window, I would expect degradation once 8-9K is exceeded.\n\... | [
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text-generation | transformers |
# Experiment28M7_Ognoexperiment27M7
Experiment28M7_Ognoexperiment27M7 is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/Ognoexperiment27M7-7B](https://huggingface.co/automerger/Ognoexperiment27M7-7B)
## 💻 Usage
```python
!pip i... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_Ognoexperiment27M7", "base_model": ["automerger/Experiment28M7-7B", "automerger/Ognoexperiment27M7-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quanti... | MaziyarPanahi/Experiment28M7_Ognoexperiment27M7 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment28M7-7B",
"base_model:automerger/Ognoexperiment27M7-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T17:46:46+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/Ognoexperiment27M7-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_Ognoexperiment27M7
Experiment28M7_Ognoexperiment27M7 is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/Ognoexperiment27M7-7B
## Usage
| [
"# Experiment28M7_Ognoexperiment27M7\n\nExperiment28M7_Ognoexperiment27M7 is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/Ognoexperiment27M7-7B",
"## 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:
* [HuggingFaceH4/zephyr-7b-beta](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["HuggingFaceH4/zephyr-7b-beta", "Equall/Saul-Base"]} | mergekit-community/mergekit-slerp-axmmibe | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:HuggingFaceH4/zephyr-7b-beta",
"base_model:Equall/Saul-Base",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T17:47:04+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-HuggingFaceH4/zephyr-7b-beta #base_model-Equall/Saul-Base #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:
* HuggingFaceH4/zephyr-7b-beta
* Equall/Saul-Base
### Configuration
The following... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* HuggingFaceH4/zephyr-7b-beta\n* Equall/Saul-Base",
"##... | [
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text-generation | transformers |
# YamshadowStrangemerges_32_Ognoexperiment27M7
YamshadowStrangemerges_32_Ognoexperiment27M7 is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/Ognoexperiment27M7-7B](https://huggingface.co/automerger/Ognoexperim... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_Ognoexperiment27M7", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/Ognoexperiment27M7-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "tex... | MaziyarPanahi/YamshadowStrangemerges_32_Ognoexperiment27M7 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/YamshadowStrangemerges_32-7B",
"base_model:automerger/Ognoexperiment27M7-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T17:48:55+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/Ognoexperiment27M7-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowStrangemerges_32_Ognoexperiment27M7
YamshadowStrangemerges_32_Ognoexperiment27M7 is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/Ognoexperiment27M7-7B
## Usage
| [
"# YamshadowStrangemerges_32_Ognoexperiment27M7\n\nYamshadowStrangemerges_32_Ognoexperiment27M7 is a merge of the following models:\n* automerger/YamshadowStrangemerges_32-7B\n* automerger/Ognoexperiment27M7-7B",
"## Usage"
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sentence-similarity | sentence-transformers | fine tuned from the model "sentence-transformers/distiluse-base-multilingual-cased-v2"
# guillezala/distiluse_ft1_database1
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clustering or semantic searc... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "datasets": ["dataset1"], "pipeline_tag": "sentence-similarity"} | guillezala/distiluse_ft1_database1 | null | [
"sentence-transformers",
"safetensors",
"distilbert",
"feature-extraction",
"sentence-similarity",
"dataset:dataset1",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T17:49:27+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #distilbert #feature-extraction #sentence-similarity #dataset-dataset1 #endpoints_compatible #region-us
| fine tuned from the model "sentence-transformers/distiluse-base-multilingual-cased-v2"
# guillezala/distiluse_ft1_database1
This is a sentence-transformers model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-... | [
"# guillezala/distiluse_ft1_database1\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 512 dimensional dense vector space and can be used for tasks like clustering or semantic search.",
"## Usage (Sentence-Transformers)\n\nUsing this model becomes easy when you have sentence-transform... | [
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text-generation | transformers |
# M7Yamshadowexperiment28_PasticheAlloyingotneoy
M7Yamshadowexperiment28_PasticheAlloyingotneoy is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/PasticheAlloyingotneoy-7B](https://huggingface.co/automerger/Pastich... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_PasticheAlloyingotneoy", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/PasticheAlloyingotneoy-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": ... | MaziyarPanahi/M7Yamshadowexperiment28_PasticheAlloyingotneoy | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/M7Yamshadowexperiment28-7B",
"base_model:automerger/PasticheAlloyingotneoy-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T17:50:00+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/PasticheAlloyingotneoy-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# M7Yamshadowexperiment28_PasticheAlloyingotneoy
M7Yamshadowexperiment28_PasticheAlloyingotneoy is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/PasticheAlloyingotneoy-7B
## Usage
| [
"# M7Yamshadowexperiment28_PasticheAlloyingotneoy\n\nM7Yamshadowexperiment28_PasticheAlloyingotneoy is a merge of the following models:\n* automerger/M7Yamshadowexperiment28-7B\n* automerger/PasticheAlloyingotneoy-7B",
"## Usage"
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"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/PasticheAlloyingotneoy-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# M7Yamshadowexperiment28_PasticheAlloyingotneoy\... | [
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"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/PasticheAlloyingotneoy-7B #license-apache-2.0 #autotrain_compatible #region-us \n# M7Yamshadowexperiment28_PasticheAlloyingotneoy\n\nM7Y... |
reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
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-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | bhavishya02/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-09T17:50:31+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
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* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\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 tutorial* wh... | [
"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n",
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n W... | [
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202
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"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrot... |
token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# models
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on th... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "datasets": ["data_loader"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/layoutlmv3-base", "model-index": [{"name": "models", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "data... | Circle6173/models | null | [
"transformers",
"safetensors",
"layoutlmv3",
"token-classification",
"generated_from_trainer",
"dataset:data_loader",
"base_model:microsoft/layoutlmv3-base",
"license:cc-by-nc-sa-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T17:50:56+00:00 | [] | [] | TAGS
#transformers #safetensors #layoutlmv3 #token-classification #generated_from_trainer #dataset-data_loader #base_model-microsoft/layoutlmv3-base #license-cc-by-nc-sa-4.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| models
======
This model is a fine-tuned version of microsoft/layoutlmv3-base on the data\_loader dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1595
* Precision: 0.8940
* Recall: 0.9169
* F1: 0.9053
* Accuracy: 0.9744
Model description
-----------------
More information needed
In... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 1000",
"### T... | [
"TAGS\n#transformers #safetensors #layoutlmv3 #token-classification #generated_from_trainer #dataset-data_loader #base_model-microsoft/layoutlmv3-base #license-cc-by-nc-sa-4.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters ... | [
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text-generation | transformers |
## 💫 Community Model> CodeGemma 7b by Google
*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.
**Model creator:** [Google](https://huggingface.co/google)<br>
**Original ... | {"license": "gemma", "library_name": "transformers", "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and click below... | lmstudio-community/codegemma-7b-GGUF | null | [
"transformers",
"gguf",
"text-generation",
"license:gemma",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T17:53:11+00:00 | [] | [] | TAGS
#transformers #gguf #text-generation #license-gemma #endpoints_compatible #region-us
|
## Community Model> CodeGemma 7b by Google
* LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*.
Model creator: Google<br>
Original model: google/codegemma-7b<br>
GGUF quantization: provided by bartowski based on 'URL' release b258... | [
"## Community Model> CodeGemma 7b by Google\n\n* LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*.\n\nModel creator: Google<br>\nOriginal model: google/codegemma-7b<br>\nGGUF quantization: provided by bartowski based on 'URL' re... | [
"TAGS\n#transformers #gguf #text-generation #license-gemma #endpoints_compatible #region-us \n",
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"TAGS\n#transformers #gguf #text-generation #license-gemma #endpoints_compatible #region-us \n## Community Model> CodeGemma 7b by Google\n\n* LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord*.\n\nModel creator: Google<br>\nOrigin... |
text-generation | transformers |
# NeuralsirkrishnaShadow_CalmeInex12
NeuralsirkrishnaShadow_CalmeInex12 is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/CalmeInex12-7B](https://huggingface.co/automerger/CalmeInex12-7B)
## 💻 Usage
```python
!p... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_CalmeInex12", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/CalmeInex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quan... | MaziyarPanahi/NeuralsirkrishnaShadow_CalmeInex12 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/NeuralsirkrishnaShadow-7B",
"base_model:automerger/CalmeInex12-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T17:56:28+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/CalmeInex12-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# NeuralsirkrishnaShadow_CalmeInex12
NeuralsirkrishnaShadow_CalmeInex12 is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/CalmeInex12-7B
## Usage
| [
"# NeuralsirkrishnaShadow_CalmeInex12\n\nNeuralsirkrishnaShadow_CalmeInex12 is a merge of the following models:\n* automerger/NeuralsirkrishnaShadow-7B\n* automerger/CalmeInex12-7B",
"## Usage"
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"# NeuralsirkrishnaShadow_CalmeInex12\n\nNeuralsirkrishnaShado... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Mar - Harpreet Singh Anand
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/ope... | {"language": ["mar"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Mar - Harpreet Singh Anand", "results": [{"task": {"type": "automatic-speech-recognit... | harupurito/whisper-small-mar_cv | null | [
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| Whisper Small Mar - Harpreet Singh Anand
========================================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4596
* Wer: 43.3628
Model description
-----------------
More informati... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# passive_invoices_v4.7_refined
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "datasets": ["my_csv_dataset3"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/layoutlmv3-base", "model-index": [{"name": "passive_invoices_v4.7_refined", "results": [{"task": {"type": "token-classification", "name": "To... | atatavana/passive_invoices_v4.7_refined | null | [
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| passive\_invoices\_v4.7\_refined
================================
This model is a fine-tuned version of microsoft/layoutlmv3-base on the my\_csv\_dataset3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0915
* Precision: 0.8838
* Recall: 0.9082
* F1: 0.8958
* Accuracy: 0.9792
Model des... | [
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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. -->
# detr-resnet-50_finetuned_blood_cell_detection3
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingfa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr-resnet-50_finetuned_blood_cell_detection3", "results": []}]} | fmajidli/detr-resnet-50_finetuned_blood_cell_detection3 | null | [
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|
# detr-resnet-50_finetuned_blood_cell_detection3
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedu... | [
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text-generation | transformers |
# Experiment28M7_Experiment24Ognoexperiment27
Experiment28M7_Experiment24Ognoexperiment27 is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/Experiment24Ognoexperiment27-7B](https://huggingface.co/automerger/Experiment24Ognoexperimen... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_Experiment24Ognoexperiment27", "base_model": ["automerger/Experiment28M7-7B", "automerger/Experiment24Ognoexperiment27-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-... | MaziyarPanahi/Experiment28M7_Experiment24Ognoexperiment27 | null | [
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|
# Experiment28M7_Experiment24Ognoexperiment27
Experiment28M7_Experiment24Ognoexperiment27 is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/Experiment24Ognoexperiment27-7B
## Usage
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | vedamaganti/wav2vec2-xls-r-300m-tamil-colab | null | [
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|
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text-generation | transformers |
# YamshadowStrangemerges_32_Experiment24Yam
YamshadowStrangemerges_32_Experiment24Yam is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/Experiment24Yam-7B](https://huggingface.co/automerger/Experiment24Yam-7B)
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_Experiment24Yam", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/Experiment24Yam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-gene... | MaziyarPanahi/YamshadowStrangemerges_32_Experiment24Yam | null | [
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|
# YamshadowStrangemerges_32_Experiment24Yam
YamshadowStrangemerges_32_Experiment24Yam is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/Experiment24Yam-7B
## Usage
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text-generation | transformers |
# M7Yamshadowexperiment28_ShadowCalme
M7Yamshadowexperiment28_ShadowCalme is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/ShadowCalme-7B](https://huggingface.co/automerger/ShadowCalme-7B)
## 💻 Usage
```pytho... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_ShadowCalme", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/ShadowCalme-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "qu... | MaziyarPanahi/M7Yamshadowexperiment28_ShadowCalme | null | [
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|
# M7Yamshadowexperiment28_ShadowCalme
M7Yamshadowexperiment28_ShadowCalme is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/ShadowCalme-7B
## Usage
| [
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text-generation | transformers | # Model Card
## Summary
This model was trained using [H2O LLM Studio](https://github.com/h2oai/h2o-llmstudio).
- Base model: [h2oai/h2o-danube2-1.8b-chat](https://huggingface.co/h2oai/h2o-danube2-1.8b-chat)
## Usage
To use the model with the `transformers` library on a machine with GPUs, first make sure you have th... | {"language": ["en"], "library_name": "transformers", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio"], "inference": false, "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico"} | aghorbani/h2o-danube2-1-8b-chat-json-v0-1-fa2 | 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": []} | tistak/sn6_4 | 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": []} | kalytm/nous-4 | 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 |
# NeuralsirkrishnaShadow_PasticheNeuralsirkrishna
NeuralsirkrishnaShadow_PasticheNeuralsirkrishna is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/PasticheNeuralsirkrishna-7B](https://huggingface.co/automerger/Pasti... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_PasticheNeuralsirkrishna", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/PasticheNeuralsirkrishna-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag"... | MaziyarPanahi/NeuralsirkrishnaShadow_PasticheNeuralsirkrishna | null | [
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"base_model:automerger/PasticheNeuralsirkrishna-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T18:09:56+00:00 | [] | [] | TAGS
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|
# NeuralsirkrishnaShadow_PasticheNeuralsirkrishna
NeuralsirkrishnaShadow_PasticheNeuralsirkrishna is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/PasticheNeuralsirkrishna-7B
## Usage
| [
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translation | 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. -->
# mbart-traduccion
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50)... | {"license": "mit", "tags": ["translation", "generated_from_trainer"], "metrics": ["bleu"], "base_model": "facebook/mbart-large-50", "model-index": [{"name": "mbart-traduccion", "results": []}]} | pamunarr/mbart-traduccion | null | [
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"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-09T18:11:14+00:00 | [] | [] | TAGS
#transformers #safetensors #mbart #text2text-generation #translation #generated_from_trainer #base_model-facebook/mbart-large-50 #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us
| mbart-traduccion
================
This model is a fine-tuned version of facebook/mbart-large-50 on Iker/InstructTranslation-EN-ES-Raw.
It achieves the following results on the evaluation set:
* Loss: 0.5543
* Bleu: 64.2175
* Gen Len: 82.8185
Model description
-----------------
More information needed
Intended... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5.6e-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: 2",
"### Traini... | [
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text-generation | transformers |
# Experiment28M7_Ognoexperiment27Multi_verse_model
Experiment28M7_Ognoexperiment27Multi_verse_model is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/Ognoexperiment27Multi_verse_model-7B](https://huggingface.co/automerger/Ognoexperi... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_Ognoexperiment27Multi_verse_model", "base_model": ["automerger/Experiment28M7-7B", "automerger/Ognoexperiment27Multi_verse_model-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_ta... | MaziyarPanahi/Experiment28M7_Ognoexperiment27Multi_verse_model | null | [
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"base_model:automerger/Ognoexperiment27Multi_verse_model-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T18:14:29+00:00 | [] | [] | TAGS
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|
# Experiment28M7_Ognoexperiment27Multi_verse_model
Experiment28M7_Ognoexperiment27Multi_verse_model is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/Ognoexperiment27Multi_verse_model-7B
## Usage
| [
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"## Usage"
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text-generation | transformers |
# YamshadowStrangemerges_32_Ognoexperiment27Multi_verse_model
YamshadowStrangemerges_32_Ognoexperiment27Multi_verse_model is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/Ognoexperiment27Multi_verse_model-7B](... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_Ognoexperiment27Multi_verse_model", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/Ognoexperiment27Multi_verse_model-7B"], "inference": false, "model_creator": "Maziya... | MaziyarPanahi/YamshadowStrangemerges_32_Ognoexperiment27Multi_verse_model | null | [
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"safetensors",
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"base_model:automerger/Ognoexperiment27Multi_verse_model-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T18:15:52+00:00 | [] | [] | TAGS
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|
# YamshadowStrangemerges_32_Ognoexperiment27Multi_verse_model
YamshadowStrangemerges_32_Ognoexperiment27Multi_verse_model is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/Ognoexperiment27Multi_verse_model-7B
## Usage
| [
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"## Usage"
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text-generation | transformers |
### astral-demo-2
## Overview
astral-demo-2 is a streamlined language model designed for quick demonstrations and insights into NLP capabilities, focusing on text generation and analysis.
## Features
- Efficient Text Generation: Quickly produces text for a variety of applications.
- Compact and Fast: Optimized for s... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["astral", "demo", "mistral"], "pipeline_tag": "text-generation"} | adowu/astral-demo-2 | null | [
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"en"
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#transformers #safetensors #mistral #text-generation #astral #demo #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### astral-demo-2
## Overview
astral-demo-2 is a streamlined language model designed for quick demonstrations and insights into NLP capabilities, focusing on text generation and analysis.
## Features
- Efficient Text Generation: Quickly produces text for a variety of applications.
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feature-extraction | transformers | Test upload model workshop SS4 | {} | jeerasak-game/test-bert | null | [
"transformers",
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"bert",
"feature-extraction",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T18:17:21+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #feature-extraction #endpoints_compatible #region-us
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text-generation | transformers |
# M7Yamshadowexperiment28_Experiment28Inex12
M7Yamshadowexperiment28_Experiment28Inex12 is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/Experiment28Inex12-7B](https://huggingface.co/automerger/Experiment28Inex12-... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Experiment28Inex12", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Experiment28Inex12-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-ge... | MaziyarPanahi/M7Yamshadowexperiment28_Experiment28Inex12 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
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"base_model:automerger/M7Yamshadowexperiment28-7B",
"base_model:automerger/Experiment28Inex12-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T18:17:33+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/Experiment28Inex12-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# M7Yamshadowexperiment28_Experiment28Inex12
M7Yamshadowexperiment28_Experiment28Inex12 is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/Experiment28Inex12-7B
## Usage
| [
"# M7Yamshadowexperiment28_Experiment28Inex12\n\nM7Yamshadowexperiment28_Experiment28Inex12 is a merge of the following models:\n* automerger/M7Yamshadowexperiment28-7B\n* automerger/Experiment28Inex12-7B",
"## 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. -->
# scenario-TCR_data-cardiffnlp_tweet_sentiment_multilingual_all_d
This model is a fine-tuned version of [xlm-roberta-base](https:/... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["tweet_sentiment_multilingual"], "metrics": ["accuracy", "f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "scenario-TCR_data-cardiffnlp_tweet_sentiment_multilingual_all_d", "results": [{"task": {"type": "text-classification", "name": "... | haryoaw/scenario-TCR_data-cardiffnlp_tweet_sentiment_multilingual_all_d | null | [
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"pytorch",
"xlm-roberta",
"text-classification",
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"base_model:xlm-roberta-base",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T18:17:41+00:00 | [] | [] | TAGS
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| scenario-TCR\_data-cardiffnlp\_tweet\_sentiment\_multilingual\_all\_d
=====================================================================
This model is a fine-tuned version of xlm-roberta-base on the tweet\_sentiment\_multilingual dataset.
It achieves the following results on the evaluation set:
* Loss: 2.8506
* ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 53\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Train... | [
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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. -->
# scenario-TCR_data-cardiffnlp_tweet_sentiment_multilingual_all_b
This model is a fine-tuned version of [xlm-roberta-base](https:/... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["tweet_sentiment_multilingual"], "metrics": ["accuracy", "f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "scenario-TCR_data-cardiffnlp_tweet_sentiment_multilingual_all_b", "results": [{"task": {"type": "text-classification", "name": "... | haryoaw/scenario-TCR_data-cardiffnlp_tweet_sentiment_multilingual_all_b | null | [
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"pytorch",
"xlm-roberta",
"text-classification",
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"base_model:xlm-roberta-base",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T18:17:42+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #dataset-tweet_sentiment_multilingual #base_model-xlm-roberta-base #license-mit #model-index #autotrain_compatible #endpoints_compatible #region-us
| scenario-TCR\_data-cardiffnlp\_tweet\_sentiment\_multilingual\_all\_b
=====================================================================
This model is a fine-tuned version of xlm-roberta-base on the tweet\_sentiment\_multilingual dataset.
It achieves the following results on the evaluation set:
* Loss: 2.7148
* ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 6666\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Tra... | [
"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #dataset-tweet_sentiment_multilingual #base_model-xlm-roberta-base #license-mit #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were use... | [
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"TAGS\n#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #dataset-tweet_sentiment_multilingual #base_model-xlm-roberta-base #license-mit #model-index #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used duri... |
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. -->
# scenario-TCR_data-cardiffnlp_tweet_sentiment_multilingual_all_c
This model is a fine-tuned version of [xlm-roberta-base](https:/... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["tweet_sentiment_multilingual"], "metrics": ["accuracy", "f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "scenario-TCR_data-cardiffnlp_tweet_sentiment_multilingual_all_c", "results": [{"task": {"type": "text-classification", "name": "... | haryoaw/scenario-TCR_data-cardiffnlp_tweet_sentiment_multilingual_all_c | null | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
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"dataset:tweet_sentiment_multilingual",
"base_model:xlm-roberta-base",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T18:17:43+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #dataset-tweet_sentiment_multilingual #base_model-xlm-roberta-base #license-mit #model-index #autotrain_compatible #endpoints_compatible #region-us
| scenario-TCR\_data-cardiffnlp\_tweet\_sentiment\_multilingual\_all\_c
=====================================================================
This model is a fine-tuned version of xlm-roberta-base on the tweet\_sentiment\_multilingual dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5108
* ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 134\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Trai... | [
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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. -->
# whisper-medium-yi
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-medium", "model-index": [{"name": "whisper-medium-yi", "results": []}]} | KevinKibe/whisper-medium-yi | null | [
"peft",
"pytorch",
"safetensors",
"generated_from_trainer",
"base_model:openai/whisper-medium",
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T18:17:56+00:00 | [] | [] | TAGS
#peft #pytorch #safetensors #generated_from_trainer #base_model-openai/whisper-medium #license-apache-2.0 #region-us
|
# whisper-medium-yi
This model is a fine-tuned version of openai/whisper-medium on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.6373
- eval_wer: 124.1379
- eval_runtime: 64.0563
- eval_samples_per_second: 0.062
- eval_steps_per_second: 0.016
- epoch: 24.03
- step: 25
##... | [
"# whisper-medium-yi\n\nThis model is a fine-tuned version of openai/whisper-medium on the None dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 2.6373\n- eval_wer: 124.1379\n- eval_runtime: 64.0563\n- eval_samples_per_second: 0.062\n- eval_steps_per_second: 0.016\n- epoch: 24.03\n- ... | [
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"# whisper-medium-yi\n\nThis model is a fine-tuned version of openai/whisper-medium on the None dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 2.6373\n... | [
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"TAGS\n#peft #pytorch #safetensors #generated_from_trainer #base_model-openai/whisper-medium #license-apache-2.0 #region-us \n# whisper-medium-yi\n\nThis model is a fine-tuned version of openai/whisper-medium on the None dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 2.6373\n- eval... |
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. -->
# scenario-TCR_data-cardiffnlp_tweet_sentiment_multilingual_all_a
This model is a fine-tuned version of [xlm-roberta-base](https:/... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["tweet_sentiment_multilingual"], "metrics": ["accuracy", "f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "scenario-TCR_data-cardiffnlp_tweet_sentiment_multilingual_all_a", "results": [{"task": {"type": "text-classification", "name": "... | haryoaw/scenario-TCR_data-cardiffnlp_tweet_sentiment_multilingual_all_a | null | [
"transformers",
"pytorch",
"xlm-roberta",
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"base_model:xlm-roberta-base",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T18:19:21+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #text-classification #generated_from_trainer #dataset-tweet_sentiment_multilingual #base_model-xlm-roberta-base #license-mit #model-index #autotrain_compatible #endpoints_compatible #region-us
| scenario-TCR\_data-cardiffnlp\_tweet\_sentiment\_multilingual\_all\_a
=====================================================================
This model is a fine-tuned version of xlm-roberta-base on the tweet\_sentiment\_multilingual dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6822
* ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 1234\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Tra... | [
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text-generation | transformers |
# NeuralsirkrishnaShadow_PasticheAlloyingotneoy
NeuralsirkrishnaShadow_PasticheAlloyingotneoy is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/PasticheAlloyingotneoy-7B](https://huggingface.co/automerger/PasticheAll... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_PasticheAlloyingotneoy", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/PasticheAlloyingotneoy-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "t... | MaziyarPanahi/NeuralsirkrishnaShadow_PasticheAlloyingotneoy | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/NeuralsirkrishnaShadow-7B",
"base_model:automerger/PasticheAlloyingotneoy-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T18:23:21+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/PasticheAlloyingotneoy-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# NeuralsirkrishnaShadow_PasticheAlloyingotneoy
NeuralsirkrishnaShadow_PasticheAlloyingotneoy is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/PasticheAlloyingotneoy-7B
## Usage
| [
"# NeuralsirkrishnaShadow_PasticheAlloyingotneoy\n\nNeuralsirkrishnaShadow_PasticheAlloyingotneoy is a merge of the following models:\n* automerger/NeuralsirkrishnaShadow-7B\n* automerger/PasticheAlloyingotneoy-7B",
"## Usage"
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"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/PasticheAlloyingotneoy-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
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"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/PasticheAlloyingotneoy-7B #license-apache-2.0 #autotrain_compatible #region-us \n# NeuralsirkrishnaShadow_PasticheAlloyingotneoy\n\nNeura... |
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. -->
# pegasus-pubmed-20k
This model is a fine-tuned version of [tuner007/pegasus_summarizer](https://huggingface.co/tuner007/pegasus_s... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "tuner007/pegasus_summarizer", "model-index": [{"name": "pegasus-pubmed-20k", "results": []}]} | Chung-Fan/pegasus-pubmed-20k | null | [
"transformers",
"safetensors",
"pegasus",
"text2text-generation",
"generated_from_trainer",
"base_model:tuner007/pegasus_summarizer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T18:25:19+00:00 | [] | [] | TAGS
#transformers #safetensors #pegasus #text2text-generation #generated_from_trainer #base_model-tuner007/pegasus_summarizer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| pegasus-pubmed-20k
==================
This model is a fine-tuned version of tuner007/pegasus\_summarizer on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2422
Model description
-----------------
More information needed
Intended uses & limitations
------------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 16\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* learni... | [
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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": []} | Irfanuddin96/llama2-7b-hf-finetuned-med | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T18:25:51+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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"# Model Card for Model ID",
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image-feature-extraction | transformers | Test upload model workshop SS4 | {} | jeerasak-game/dinov2-base | null | [
"transformers",
"safetensors",
"dinov2",
"image-feature-extraction",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T18:28:23+00:00 | [] | [] | TAGS
#transformers #safetensors #dinov2 #image-feature-extraction #endpoints_compatible #region-us
| Test upload model workshop SS4 | [] | [
"TAGS\n#transformers #safetensors #dinov2 #image-feature-extraction #endpoints_compatible #region-us \n"
] | [
26
] | [
"TAGS\n#transformers #safetensors #dinov2 #image-feature-extraction #endpoints_compatible #region-us \n"
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/LumiOpen/Poro-34B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Poro-34B-i1-GGUF
## Usa... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["cerebras/SlimPajama-627B", "bigcode/starcoderdata", "mc4", "allenai/dolma"], "base_model": "LumiOpen/Poro-34B", "quantized_by": "mradermacher"} | mradermacher/Poro-34B-GGUF | null | [
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"license:apache-2.0",
"endpoints_compatible",
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"en"
] | TAGS
#transformers #gguf #en #dataset-cerebras/SlimPajama-627B #dataset-bigcode/starcoderdata #dataset-mc4 #dataset-allenai/dolma #base_model-LumiOpen/Poro-34B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
text-generation | transformers |
# YamshadowStrangemerges_32_Experiment27Pastiche
YamshadowStrangemerges_32_Experiment27Pastiche is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/Experiment27Pastiche-7B](https://huggingface.co/automerger/Exper... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_Experiment27Pastiche", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/Experiment27Pastiche-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": ... | MaziyarPanahi/YamshadowStrangemerges_32_Experiment27Pastiche | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/YamshadowStrangemerges_32-7B",
"base_model:automerger/Experiment27Pastiche-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T18:29:46+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/Experiment27Pastiche-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowStrangemerges_32_Experiment27Pastiche
YamshadowStrangemerges_32_Experiment27Pastiche is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/Experiment27Pastiche-7B
## Usage
| [
"# YamshadowStrangemerges_32_Experiment27Pastiche\n\nYamshadowStrangemerges_32_Experiment27Pastiche is a merge of the following models:\n* automerger/YamshadowStrangemerges_32-7B\n* automerger/Experiment27Pastiche-7B",
"## Usage"
] | [
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text-generation | transformers |
# Experiment28M7_Experiment27Pastiche
Experiment28M7_Experiment27Pastiche is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/Experiment27Pastiche-7B](https://huggingface.co/automerger/Experiment27Pastiche-7B)
## 💻 Usage
```pytho... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_Experiment27Pastiche", "base_model": ["automerger/Experiment28M7-7B", "automerger/Experiment27Pastiche-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "qu... | MaziyarPanahi/Experiment28M7_Experiment27Pastiche | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment28M7-7B",
"base_model:automerger/Experiment27Pastiche-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T18:29:54+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/Experiment27Pastiche-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_Experiment27Pastiche
Experiment28M7_Experiment27Pastiche is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/Experiment27Pastiche-7B
## Usage
| [
"# Experiment28M7_Experiment27Pastiche\n\nExperiment28M7_Experiment27Pastiche is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/Experiment27Pastiche-7B",
"## Usage"
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null | transformers | Test | {} | jeerasak-game/pytorch-model | null | [
"transformers",
"safetensors",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #endpoints_compatible #region-us
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text-generation | transformers |
# Model Card for Phi-2-LC
Este modelo es el primer paso hacia un modelo de lenguaje que pueda usarse para reescribir textos de carácter administrativo con el objetivo de mejorar su comprensión y lecturabilidad para todo el mundo.
## Model Details
### Model Description
- **Developed by:** [Sergio Chicón](https://hu... | {"language": ["es"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["somosnlp/lenguaje-claro-dataset"]} | somosnlp/phi-2-LC | null | [
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"has_space",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T18:30:39+00:00 | [
"1910.09700"
] | [
"es"
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#transformers #safetensors #phi #text-generation #custom_code #es #dataset-somosnlp/lenguaje-claro-dataset #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
|
# Model Card for Phi-2-LC
Este modelo es el primer paso hacia un modelo de lenguaje que pueda usarse para reescribir textos de carácter administrativo con el objetivo de mejorar su comprensión y lecturabilidad para todo el mundo.
## Model Details
### Model Description
- Developed by: Sergio Chicón
- Model type: La... | [
"# Model Card for Phi-2-LC\n\nEste modelo es el primer paso hacia un modelo de lenguaje que pueda usarse para reescribir textos de carácter administrativo con el objetivo de mejorar su comprensión y lecturabilidad para todo el mundo.",
"## Model Details",
"### Model Description\n\n- Developed by: Sergio Chicón\... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | erikbritto/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-09T18:31:34+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
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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. -->
# levit-128-finetuned-flower
This model is a fine-tuned version of [facebook/levit-128](https://huggingface.co/facebook/levit-128)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "facebook/levit-128", "model-index": [{"name": "levit-128-finetuned-flower", "results": [{"task": {"type": "image-classification", "name": "Image Classification"... | momo345/levit-128-finetuned-flower | null | [
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"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T18:31:37+00:00 | [] | [] | TAGS
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| levit-128-finetuned-flower
==========================
This model is a fine-tuned version of facebook/levit-128 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1807
* Accuracy: 0.9506
* Precision: 0.9510
* Recall: 0.9506
* F1: 0.9506
Model description
----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.005\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 256\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
"TAGS\n#transformers #tensorboard #safetensors #levit #image-classification #generated_from_trainer #dataset-imagefolder #base_model-facebook/levit-128 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
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