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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.9684362411499023
f1_macro: 0.3717510031517435
f1_micro: 0.6171548117154811
f1_weighted: 0.5667452948322756
precision_macro: 0.7171713517359477
precision_micro: 0.6171548117154811
precision_weighted: 0.671060847546... | {"tags": ["autotrain", "text-classification"], "datasets": ["GeoBert-v99/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | luukschmitz/GeoBert-v99 | null | [
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|
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.9684362411499023
f1_macro: 0.3717510031517435
f1_micro: 0.6171548117154811
f1_weighted: 0.5667452948322756
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precision_micro: 0.6171548117154811
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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. -->
# stocks
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/ro... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cased-te", "model-index": [{"name": "stocks", "results": []}]} | adriansanz/2404v3 | null | [
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| stocks
======
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6453
* Accuracy: 0.8309
* Precision: 0.8362
* Recall: 0.8309
* F1: 0.8302
* Ratio: 0.5631
Model description
-----------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 10\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 20\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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question-answering | 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. -->
# Kemasu/albert-base-v2-finetuned-squad-v2
This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2)... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "albert-base-v2", "model-index": [{"name": "Kemasu/albert-base-v2-finetuned-squad-v2", "results": []}]} | Kemasu/albert-base-v2-finetuned-squad-v2 | null | [
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| Kemasu/albert-base-v2-finetuned-squad-v2
========================================
This model is a fine-tuned version of albert-base-v2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.6480
* Train End Logits Accuracy: 0.8134
* Train Start Logits Accuracy: 0.7726
* Epoc... | [
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null | transformers |
# Uploaded model
- **Developed by:** Arvis8
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Arvis8/senna_v1ft | null | [
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|
# Uploaded model
- Developed by: Arvis8
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | BotnoiNLPteam/SNOMED-CT-Model-NER-V.1 | 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 | # nbeerbower/llama-3-slerp-kraut-dragon-8B AWQ
- Model creator: [nbeerbower](https://huggingface.co/nbeerbower)
- Original model: [llama-3-slerp-kraut-dragon-8B](https://huggingface.co/nbeerbower/llama-3-slerp-kraut-dragon-8B)
## How to use
### Install the necessary packages
```bash
pip install --upgrade autoawq ... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/llama-3-slerp-kraut-dragon-8B-AWQ | null | [
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| # nbeerbower/llama-3-slerp-kraut-dragon-8B AWQ
- Model creator: nbeerbower
- Original model: llama-3-slerp-kraut-dragon-8B
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently suppo... | [
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text-generation | transformers |
# Mistral-offspring-test
Mistral-offspring-test is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
* [meta-math/MetaMath-Mistral-7B](https://hugg... | {"tags": ["merge", "mergekit", "lazymergekit", "mistralai/Mistral-7B-v0.1", "meta-math/MetaMath-Mistral-7B"], "base_model": ["mistralai/Mistral-7B-v0.1", "meta-math/MetaMath-Mistral-7B"]} | PotatoB/Mistral-offspring-test | null | [
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... | null | 2024-04-24T09:19:04+00:00 | [] | [] | TAGS
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|
# Mistral-offspring-test
Mistral-offspring-test is a merge of the following models using LazyMergekit:
* mistralai/Mistral-7B-v0.1
* meta-math/MetaMath-Mistral-7B
## Configuration
## 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": []} | tomaszki/llama-9-a | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
... | {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-pixelcopter-cnn-lstm-1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pix... | nvasko/Reinforce-pixelcopter-cnn-lstm-1 | null | [
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#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | yizai30/llama-3-8b-instruct | null | [
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"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-3",
"conversational",
"en",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T09:21:12+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #facebook #meta #pytorch #llama-3 #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using tr... | [
"TAGS\n#transformers #safetensors #llama #text-generation #facebook #meta #pytorch #llama-3 #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with... | [
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text-generation | transformers |
<br/><br/>
6bpw/h6 exl2 quantization of [xxx777xxxASD/ChaoticSoliloquy-4x8B](https://huggingface.co/xxx777xxxASD/ChaoticSoliloquy-4x8B) using default exllamav2 calibration dataset.
---
**ORIGINAL CARD:**
![image/png](https://cdn-uploads.huggingface.co/production/uploads/64f5e51289c121cb864ba464/jgyhmI451GRXri5hEj3... | {"language": ["en"], "license": "llama3", "tags": ["moe"]} | JayhC/ChaoticSoliloquy-4x8B-6bpw-h6-exl2 | null | [
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"text-generation-inference",
"6-bit",
"region:us"
] | null | 2024-04-24T09:21:31+00:00 | [] | [
"en"
] | TAGS
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|
<br/><br/>
6bpw/h6 exl2 quantization of xxx777xxxASD/ChaoticSoliloquy-4x8B using default exllamav2 calibration dataset.
---
ORIGINAL CARD:
!image/png
(Maybe i'll change the waifu picture later)
Experimental RP-oriented MoE, the idea was to get a model that would be equal to or better than the Mixtral 8x7B and it'... | [
"### ChaoticSoliloquy-4x8B",
"## Models used\n\n- ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B\n- jeiku/Chaos_RP_l3_8B\n- openlynn/Llama-3-Soliloquy-8B\n- Sao10K/L3-Solana-8B-v1",
"## Vision\n\nllama3_mmproj\n!image/png",
"## Prompt format: Llama 3"
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #moe #conversational #en #license-llama3 #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us \n",
"### ChaoticSoliloquy-4x8B",
"## Models used\n\n- ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B\n- jeiku/Chaos_RP_l3_8B\n... | [
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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/llama-9-b | null | [
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"region:us"
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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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": []} | RobertML/mnemonic | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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image-feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | mali17361/detr-finetuned-table-v3 | 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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zero-shot-image-classification | transformers | --
tags:
- clip
- image-embedding
pipeline_tag: feature-extraction
widget:
- text: "https://example.com/sample_image.jpg"
---
# CLIP Model with URL Input
This model takes an image URL and returns the corresponding CLIP embeddings.
## How to use
You can use this model directly from the Hugging Face Model Hub via the ... | {} | user-agent/CLIP_embeddings_ViT_B32_1 | null | [
"transformers",
"safetensors",
"clip",
"zero-shot-image-classification",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T09:26:05+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #clip #zero-shot-image-classification #arxiv-1910.09700 #endpoints_compatible #region-us
| --
tags:
- clip
- image-embedding
pipeline_tag: feature-extraction
widget:
- text: "URL
---
# CLIP Model with URL Input
This model takes an image URL and returns the corresponding CLIP embeddings.
## How to use
You can use this model directly from the Hugging Face Model Hub via the Inference API. The input should be... | [
"# CLIP Model with URL Input\n\nThis model takes an image URL and returns the corresponding CLIP embeddings.",
"## How to use\nYou can use this model directly from the Hugging Face Model Hub via the Inference API. The input should be a JSON object with an 'image_url' key, which contains the URL of the image for w... | [
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | yy1636/poca-SoccerTwos-24-test0 | null | [
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"onnx",
"SoccerTwos",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SoccerTwos",
"region:us"
] | null | 2024-04-24T09:26:12+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* ... | [
"# poca Agent playing SoccerTwos\n This is a trained model of a poca agent playing SoccerTwos\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short ... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Masterjp123/Llama-3-SnowyRP-8B-V1-B
You should use `--override-kv tokenizer.ggml.pre=str:llama3` and a current llama.cpp version to work aroun... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Masterjp123/Llama-3-SnowyRP-8B-V1-B", "quantized_by": "mradermacher"} | mradermacher/Llama-3-SnowyRP-8B-V1-B-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-Masterjp123/Llama-3-SnowyRP-8B-V1-B #endpoints_compatible #region-us
| About
-----
static quants of URL
You should use '--override-kv URL=str:llama3' and a current URL version to work around a bug in URL that made these quants. (see 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 no... | [] | [
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] |
text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Sayan01/CKA-T5-FLAN-l-T1 | null | [
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"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-13b-chat-hf"} | bmehrba/Llama-2-13b-chat-hf-fine-tuned-adapters_Epistemic_Llama13b_0.0_Seed104 | null | [
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"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-meta-llama/Llama-2-13b-chat-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-13b-chat-hf"} | bmehrba/Llama-2-13b-chat-hf-fine-tuned_Epistemic_Llama13b_0.0_Seed104 | 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. -->
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<!-- 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. -->
# V0424HMA1
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0424HMA1", "results": []}]} | Litzy619/V0424HMA1 | null | [
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| V0424HMA1
=========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0138
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** saiful2024
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | saiful2024/llama3-8b-oig-unsloth-merged | null | [
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# Uploaded model
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MaiiaCompsolutions/multiclass_id2label_finance | 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
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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# Model Card for InternVideo2
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
## Model Details
### Model Sources
- **Repository:** [InternVideo2](https://github.com/OpenGVLab/InternVideo/tree/main/InternVideo2)
- **Paper:** [2403.153... | {"license": "apache-2.0", "extra_gated_prompt": "You agree to not use the model to conduct experiments that cause harm to human subjects.", "extra_gated_fields": {"Name": "text", "Company/Organization": "text", "Country": "text", "E-Mail": "text"}} | OpenGVLab/InternVideo2-Stage1-1B-224p-f8-k710 | null | [
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# Model Card for InternVideo2
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
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- Point of Contact: mailto:InternVideo Group
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null | null | model: runwayml/stable-diffusion-v1-5 | {} | trongg/cr7 | null | [
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<!-- 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. -->
# V0424HMA2
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0424HMA2", "results": []}]} | Litzy619/V0424HMA2 | null | [
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| V0424HMA2
=========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0500
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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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. -->
# results_5K
This model is a fine-tuned version of [google-bert/bert-large-cased](https://huggingface.co/google-bert/bert-large-ca... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-large-cased", "model-index": [{"name": "results_5K", "results": []}]} | Elkelouizajo/bert_mnli_5K | null | [
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# results_5K
This model is a fine-tuned version of google-bert/bert-large-cased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameter... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0424HMA3
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0424HMA3", "results": []}]} | Litzy619/V0424HMA3 | null | [
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"license:mit",
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0424HMA3
=========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0669
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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text-generation | transformers |
# Llama-3-Mistral-v0.2-Instruct-slerp
Llama-3-Mistral-v0.2-Instruct-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
... | {"license": "mit", "tags": ["merge", "mergekit", "lazymergekit", "meta-llama/Meta-Llama-3-8B-Instruct", "mistralai/Mistral-7B-Instruct-v0.2"], "base_model": ["meta-llama/Meta-Llama-3-8B-Instruct", "mistralai/Mistral-7B-Instruct-v0.2"]} | varox34/Llama-3-Mistral-v0.2-Instruct-slerp | null | [
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# Llama-3-Mistral-v0.2-Instruct-slerp
Llama-3-Mistral-v0.2-Instruct-slerp is a merge of the following models using LazyMergekit:
* meta-llama/Meta-Llama-3-8B-Instruct
* mistralai/Mistral-7B-Instruct-v0.2
## Configuration
## Usage
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0424HMA4
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0424HMA4", "results": []}]} | Litzy619/V0424HMA4 | null | [
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| V0424HMA4
=========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1475
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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text-generation | transformers |
# Medical-Llama3-8B-GPTQ
[](https://ruslanmv.com/)
This is a fine-tuned version of the Llama3 8B model, specifically designed to answer medical questions.
The model was trained on the AI Medical Chatbot dataset, which can be found at [ruslanmv/ai-medical-chatbot](https://huggingface.co/datasets/ruslanm... | {"language": "en", "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "ruslanmv", "llama", "trl"], "datasets": ["ruslanmv/ai-medical-chatbot"], "base_model": "meta-llama/Meta-Llama-3-8B"} | ruslanmv/Medical-Llama3-8B-GPTQ | null | [
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|
# Medical-Llama3-8B-GPTQ
![](URL
This is a fine-tuned version of the Llama3 8B model, specifically designed to answer medical questions.
The model was trained on the AI Medical Chatbot dataset, which can be found at ruslanmv/ai-medical-chatbot.
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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. -->
# Classifier_30k
This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-la... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/deberta-v3-large", "model-index": [{"name": "Classifier_30k", "results": []}]} | Tensorride/Classifier_30k | null | [
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| Classifier\_30k
===============
This model is a fine-tuned version of microsoft/deberta-v3-large on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1296
* Accuracy: 0.9876
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
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text-generation | transformers | # EMO-phi-128k
EMO-phi-128k is an emotional intelligence conversational AI model fine-tuned from Microsoft's Phi-3-mini-128k-instruct model. It is designed to engage in open-ended dialogue while exhibiting emotional understanding and emotional intelligence capabilities.
## Model Details
- **Developer**: OEvortex
- *... | {"license": "mit", "library_name": "transformers", "tags": ["EMO"], "pipeline_tag": "text-generation", "base_model": "microsoft/Phi-3-mini-128k-instruct"} | OEvortex/EMO-phi-128k | null | [
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| # EMO-phi-128k
EMO-phi-128k is an emotional intelligence conversational AI model fine-tuned from Microsoft's Phi-3-mini-128k-instruct model. It is designed to engage in open-ended dialogue while exhibiting emotional understanding and emotional intelligence capabilities.
## Model Details
- Developer: OEvortex
- Model... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/llama-9 | null | [
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null | null |
# Model Card for InternVideo2
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
## Model Details
### Model Sources
- **Repository:** [InternVideo2](https://github.com/OpenGVLab/InternVideo/tree/main/InternVideo2)
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# Model Card for InternVideo2
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
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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": []} | notbdq/test72173 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
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null | null |
# Model Card for InternVideo2
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
## Model Details
### Model Sources
- **Repository:** [InternVideo2](https://github.com/OpenGVLab/InternVideo/tree/main/InternVideo2)
- **Paper:** [2403.153... | {"license": "apache-2.0", "extra_gated_prompt": "You agree to not use the model to conduct experiments that cause harm to human subjects.", "extra_gated_fields": {"Name": "text", "Company/Organization": "text", "Country": "text", "E-Mail": "text"}} | OpenGVLab/InternVideo2-Stage1-1B-224p-K600 | null | [
"arxiv:2403.15377",
"license:apache-2.0",
"region:us"
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"2403.15377"
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#arxiv-2403.15377 #license-apache-2.0 #region-us
|
# Model Card for InternVideo2
This modelcard aims to give the model info of 'InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding'.
## Model Details
### Model Sources
- Repository: InternVideo2
- Paper: 2403.15377
- Point of Contact: mailto:InternVideo Group
If you find this work usefu... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0424HMA5
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0424HMA5", "results": []}]} | Litzy619/V0424HMA5 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-24T09:42:22+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0424HMA5
=========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1467
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0424HMA6
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0424HMA6", "results": []}]} | Litzy619/V0424HMA6 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-24T09:42:25+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0424HMA6
=========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1480
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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null | null |
<!-- 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. -->
# V0424HMA7
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0424HMA7", "results": []}]} | Litzy619/V0424HMA7 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-24T09:43:23+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0424HMA7
=========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0477
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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text-generation | transformers |
<div align="center">
<h1>Activation Beacon for Mistral</h1>
[<a href="https://arxiv.org/abs/2401.03462">Paper</a>] [<a href="https://github.com/FlagOpen/FlagEmbedding/tree/master/Long_LLM/activation_beacon">Github</a>]
</div>
We apply [activation beacon](https://arxiv.org/abs/2401.03462) on [Mistral-7B-Instruct-v0.... | {"license": "mit", "pipeline_tag": "text-generation"} | namespace-Pt/activation-beacon-mistral-7b | null | [
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"license:mit",
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"region:us"
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|
Activation Beacon for Mistral
=============================
[<a href="URL [<a href="URL
We apply activation beacon on Mistral-7B-Instruct-v0.2. It is remarkable for the following features:
* Effective: strong performance on long-context tasks.
* Efficient: significantly lower memory usage & inference latency co... | [] | [
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] |
automatic-speech-recognition | transformers |
# Model Description
Provide your detailed description here...
| {"language": "is", "tags": ["automatic-speech-recognition", "wav2vec2", "WER"], "model-index": [{"name": "gudjonk93/wav2vec2-large-xlsr-53-female-over-49", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "Samr\u00f3mur Millj\u00f3n, split=female... | gudjonk93/wav2vec2-large-xlsr-53-female-over-49 | null | [
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|
# Model Description
Provide your detailed description here...
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] |
null | transformers |
# Uploaded model
- **Developed by:** jurieyel
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | jurieyel/text2sql-finetuned-llama3-8b-bnb-4bit_q4_k_m-gguf | null | [
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|
# Uploaded model
- Developed by: jurieyel
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# solar_detection_resnet-50
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-r... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "solar_detection_resnet-50", "results": []}]} | michalszy888/solar_detection_resnet-50 | null | [
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"generated_from_trainer",
"base_model:facebook/detr-resnet-50",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T09:50:24+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
|
# solar_detection_resnet-50
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 procedure
### Training hype... | [
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text-generation | transformers | # jeiku/Average_Normie_l3_v1_8B AWQ
- Model creator: [jeiku](https://huggingface.co/jeiku)
- Original model: [Average_Normie_l3_v1_8B](https://huggingface.co/jeiku/Average_Normie_l3_v1_8B)
## How to use
### Install the necessary packages
```bash
pip install --upgrade autoawq autoawq-kernels
```
### Example Pytho... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/Average_Normie_l3_v1_8B-AWQ | null | [
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"AWQ",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-24T09:51:40+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #text-generation-inference #region-us
| # jeiku/Average_Normie_l3_v1_8B AWQ
- Model creator: jeiku
- Original model: Average_Normie_l3_v1_8B
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantizati... | [
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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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "apache-2.0", "tags": ["object-detection", "vision", "generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "facebook-detr-resnet-50-finetuned-10k-cppe5", "results": []}]} | qubvel-hf/facebook-detr-resnet-50-finetuned-10k-cppe5 | null | [
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| <img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
facebook-detr-resnet-50-finetuned-10k-cppe5
===========================================
This model is a fine-tuned version of facebook/detr-resnet-50 on the cppe-5 dataset.
It achieves the following results on the evaluation set:
* Loss: ... | [
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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": []} | Anakeen/Meta_Llama_3_8B_trained_TER | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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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. -->
# outputs
This model is a fine-tuned version of [unsloth/llama-3-8b-bnb-4bit](https://huggingface.co/unsloth/llama-3-8b-bnb-4bit) ... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer"], "base_model": "unsloth/llama-3-8b-bnb-4bit", "model-index": [{"name": "outputs", "results": []}]} | richie-ghost/outputs | null | [
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|
# outputs
This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The... | [
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text-generation | transformers |
# GPT-J 6B
## Model Description
GPT-J 6B is a transformer model trained using Ben Wang's [Mesh Transformer JAX](https://github.com/kingoflolz/mesh-transformer-jax/). "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters.
<figure>
| Hyperparameter | Value |
|-----... | {"language": ["en"], "license": "apache-2.0", "tags": ["pytorch", "causal-lm"], "datasets": ["EleutherAI/pile"]} | titanbot/gptj-6b-base-4bit-AWQ | null | [
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| GPT-J 6B
========
Model Description
-----------------
GPT-J 6B is a transformer model trained using Ben Wang's Mesh Transformer JAX. "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters.
**\*** Each layer consists of one feedforward block and one self attention block.
... | [
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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": []} | jin-cheon/code-search-net-tokenizer | null | [
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|
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## Model Details
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "vilm/vinallama-7b-chat"} | trungtienluong/vinallama-childcare | null | [
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### Model Sources [optional]
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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": []} | nmdr/Gemma-1.1-2b-it-Physics-2k-The-Iron-Giant20 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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| Hyperparameters | Value |
| :-- | :-- |
| na... | {"library_name": "keras"} | AndreiUrsu/Fer2013_VGG16_35epochs | null | [
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#keras #region-us
| Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information needed
Training procedure
------------------
### Training hyperparameters
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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. -->
# 2404v5
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/ro... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cased-te", "model-index": [{"name": "2404v5", "results": []}]} | adriansanz/2404v5 | null | [
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"license:apache-2.0",
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| 2404v5
======
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6586
* Accuracy: 0.8403
* Precision: 0.8407
* Recall: 0.8403
* F1: 0.8403
* Ratio: 0.5168
Model description
-----------------
More... | [
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null | null |
# MergerixT3qm7-7B
MergerixT3qm7-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: MiniMoog/Mergerix-7b-v0.3
- model: nlpguy/T3QM7
merge_method: model_stock
ba... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/MergerixT3qm7-7B | null | [
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"lazymergekit",
"automerger",
"license:apache-2.0",
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#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# MergerixT3qm7-7B
MergerixT3qm7-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## 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. -->
# robust_llm_pythia-70m_mz-130_IMDB_n-its-10-seed-4
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingf... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_mz-130_IMDB_n-its-10-seed-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_mz-130_IMDB_n-its-10-seed-4 | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T10:06:39+00:00 | [] | [] | TAGS
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|
# robust_llm_pythia-70m_mz-130_IMDB_n-its-10-seed-4
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-generation | null |
# MoMonir/Phi-3-mini-128k-instruct-GGUF
This model was converted to GGUF format from [`microsoft/Phi-3-mini-128k-instruct`](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct)
Refer to the [original model card](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) for more details on the model.
<!-- READM... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation"} | MoMonir/Phi-3-mini-128k-instruct-GGUF | null | [
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# MoMonir/Phi-3-mini-128k-instruct-GGUF
This model was converted to GGUF format from 'microsoft/Phi-3-mini-128k-instruct'
Refer to the original model card for more details on the model.
### About GGUF (TheBloke Description)
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# Naive Pointwise MonoBERT trained on Baidu-ULTR
A flax-based MonoBERT cross encoder trained on the [Baidu-ULTR](https://arxiv.org/abs/2207.03051) dataset with a **pointwise sigmoid cross-entropy loss on clicks**. The loss is called "naive" as we use user clicks as a signal of relevance without any additional position... | {"license": "mit", "datasets": ["philipphager/baidu-ultr-pretrain", "philipphager/baidu-ultr_uva-mlm-ctr"], "metrics": ["log-likelihood", "dcg@1", "dcg@3", "dcg@5", "dcg@10", "ndcg@10", "mrr@10"], "co2_eq_emissions": {"emissions": 2090, "source": "Calculated using the [ML CO2 impact calculator](https://mlco2.github.io/... | philipphager/baidu-ultr_uva-bert_naive-pointwise | null | [
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| Naive Pointwise MonoBERT trained on Baidu-ULTR
==============================================
A flax-based MonoBERT cross encoder trained on the Baidu-ULTR dataset with a pointwise sigmoid cross-entropy loss on clicks. The loss is called "naive" as we use user clicks as a signal of relevance without any additional po... | [] | [
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null | transformers |
# Uploaded model
- **Developed by:** saiful2024
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | saiful2024/llama3-8b-oig-unsloth | null | [
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# Uploaded model
- Developed by: saiful2024
- License: apache-2.0
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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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": []} | devkya/openai-whisper-large-v2-ko-transcribe-self | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers | # Fonglets Lunaflame Pony XL
<Gallery />
## Trigger words
You should use `lunaflame` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Fongletto/Fonglets_Lunaflame_Pony_XL/tree/main) them in the Files & versions tab. | {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "not-for-all-audiences"], "widget": [{"text": "score_9,score_8,score_7,score_8_up,score_7_up,score_6_up,", "parameters": {"negative_prompt": "source_pony, censored, bar censor, mosaic, line censor, muscles, abs"}, "output": {"url": ... | Fongletto/Fonglets_Lunaflame_Pony_XL | null | [
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| # Fonglets Lunaflame Pony XL
<Gallery />
## Trigger words
You should use 'lunaflame' to trigger the image generation.
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Weights for this model are available in Safetensors format.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/stable-pants2 | 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-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# controlnet-Wouter01/diffusion_model_out
These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base w... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "controlnet", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "controlnet", "diffusers-training"], "base_model"... | Wouter01/diffusion_model_out | null | [
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# controlnet-Wouter01/diffusion_model_out
These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
You can find some example images below.
prompt: The same image but fixing small physical and illumination inconsistencies
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-c... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "NousResearch/Llama-2-7b-chat-hf", "model-index": [{"name": "results", "results": []}]} | Soykot/results | null | [
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This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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More information needed
## Training procedure
### Training hyperparameter... | [
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null | transformers |
# Naive Listwise MonoBERT trained on Baidu-ULTR
A flax-based MonoBERT cross encoder trained on the [Baidu-ULTR](https://arxiv.org/abs/2207.03051) dataset with a **listwise softmax cross-entropy loss on clicks**. The loss is called "naive" as we use user clicks as a signal of relevance without any additional position b... | {"license": "mit", "datasets": ["philipphager/baidu-ultr-pretrain", "philipphager/baidu-ultr_uva-mlm-ctr"], "metrics": ["log-likelihood", "dcg@1", "dcg@3", "dcg@5", "dcg@10", "ndcg@10", "mrr@10"], "co2_eq_emissions": {"emissions": 2090, "source": "Calculated using the [ML CO2 impact calculator](https://mlco2.github.io/... | philipphager/baidu-ultr_uva-bert_naive-listwise | null | [
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| Naive Listwise MonoBERT trained on Baidu-ULTR
=============================================
A flax-based MonoBERT cross encoder trained on the Baidu-ULTR dataset with a listwise softmax cross-entropy loss on clicks. The loss is called "naive" as we use user clicks as a signal of relevance without any additional posit... | [] | [
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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 Kn
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on th... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Kn", "results": []}]} | amithm3/whisper-small-hi | null | [
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# Whisper Small Kn
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
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More information needed
## Intended uses & limitations
More information needed
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More information needed
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_3iters_bs256_nodpo_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggi... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_ablation_3iters_bs256_nodpo_iter_1", "results": []}]} | ShenaoZ/0.001_ablation_3iters_bs256_nodpo_iter_1 | null | [
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|
# 0.001_ablation_3iters_bs256_nodpo_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information need... | [
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text-generation | transformers | # GoPhos Quantized Model
## Overview
This repository hosts the quantized version of the GoPhos model, specifically optimized for interpreting Sophos logs exported from Splunk. The model is available for easy integration and usage through the `mlx-lm` library, facilitating seamless log interpretation tasks.
## Model D... | {} | SadokBarbouche/gophos-quantized | null | [
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| # GoPhos Quantized Model
## Overview
This repository hosts the quantized version of the GoPhos model, specifically optimized for interpreting Sophos logs exported from Splunk. The model is available for easy integration and usage through the 'mlx-lm' library, facilitating seamless log interpretation tasks.
## Model D... | [
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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. -->
# robust_llm_pythia-31m_mz-130_PasswordMatch_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-31m](https:/... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-130_PasswordMatch_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-130_PasswordMatch_n-its-10-seed-2 | null | [
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|
# robust_llm_pythia-31m_mz-130_PasswordMatch_n-its-10-seed-2
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Traini... | [
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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. -->
# robust_llm_pythia-31m_mz-130_PasswordMatch_n-its-10-seed-1
This model is a fine-tuned version of [EleutherAI/pythia-31m](https:/... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-130_PasswordMatch_n-its-10-seed-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-130_PasswordMatch_n-its-10-seed-1 | null | [
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|
# robust_llm_pythia-31m_mz-130_PasswordMatch_n-its-10-seed-1
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Traini... | [
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text-generation | transformers | # LAION LeoLM: **L**inguistically **E**nhanced **O**pen **L**anguage **M**odel
Meet LeoLM, the first open and commercially available German Foundation Language Model built on Llama-2.
Our models extend Llama-2's capabilities into German through continued pretraining on a large corpus of German-language and mostly loca... | {"language": ["en", "de"], "library_name": "transformers", "datasets": ["LeoLM/OpenSchnabeltier", "OpenAssistant/OASST-DE", "FreedomIntelligence/alpaca-gpt4-deutsch", "FreedomIntelligence/evol-instruct-deutsch", "LeoLM/German_Poems", "LeoLM/German_Songs"], "pipeline_tag": "text-generation"} | titanbot/LeoLM-hessianai-7b-chat | null | [
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========================================================
Meet LeoLM, the first open and commercially available German Foundation Language Model built on Llama-2.
Our models extend Llama-2's capabilities into German through continued pretraining on a large corpu... | [] | [
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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": []} | Marco127/llamantino_hodi_relabeled | 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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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. -->
# 2404v6
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/ro... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cased-te", "model-index": [{"name": "2404v6", "results": []}]} | adriansanz/2404v6 | null | [
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| 2404v6
======
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5939
* Accuracy: 0.8445
* Precision: 0.8451
* Recall: 0.8445
* F1: 0.8445
* Ratio: 0.4790
Model description
-----------------
More... | [
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null | null | # Bi-LSTM for Evidence Detection
This repository contains the implementation of a bi-directional Long Short-Term Memory (Bi-LSTM) network designed for the task of evidence detection in text data. The model processes and classifies textual inputs to identify information that can be considered as evidence within a given... | {} | azibbbbb/Bi-LSTM | null | [
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#region-us
| # Bi-LSTM for Evidence Detection
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.01_ablation_3iters_bs256_nodpo_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggin... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.01_ablation_3iters_bs256_nodpo_iter_1", "results": []}]} | ShenaoZ/0.01_ablation_3iters_bs256_nodpo_iter_1 | null | [
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|
# 0.01_ablation_3iters_bs256_nodpo_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information neede... | [
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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": []} | la-min/mGPT_Myanmar | null | [
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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. -->
# vit-base-beans
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-... | {"license": "apache-2.0", "tags": ["image-classification", "vision", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "pipeline_tag": "image-classification", "model-index": [{"name": "vit-base-beans", "results": []}]} | ealdaz/vit-base-beans | null | [
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| vit-base-beans
==============
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the beans dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1028
* Accuracy: 0.9699
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
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null | null | Čo je Hemopro Gel cena?
Hemopro Gel Recenzie je lokálny gél špeciálne navrhnutý na zmiernenie príznakov hemoroidov vrátane bolesti, svrbenia, pálenia a opuchu. Jeho pokročilé zloženie kombinuje prírodné zložky známe svojimi upokojujúcimi a hojivými vlastnosťami, ktoré poskytujú rýchlu a účinnú úľavu postihnutým oblast... | {"license": "apache-2.0"} | HemoproGel/HemoproGel | null | [
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| Čo je Hemopro Gel cena?
Hemopro Gel Recenzie je lokálny gél špeciálne navrhnutý na zmiernenie príznakov hemoroidov vrátane bolesti, svrbenia, pálenia a opuchu. Jeho pokročilé zloženie kombinuje prírodné zložky známe svojimi upokojujúcimi a hojivými vlastnosťami, ktoré poskytujú rýchlu a účinnú úľavu postihnutým oblast... | [] | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_5iters_bs256_nodpo_iter_4
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_5iters_bs256_nodpo_iter_3... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_5iters_bs256_nodpo_iter_3", "model-index": [{"name": "0.001_ablation_5iters_bs256_nodpo_iter_4", "results": []}]} | ShenaoZ/0.001_ablation_5iters_bs256_nodpo_iter_4 | null | [
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|
# 0.001_ablation_5iters_bs256_nodpo_iter_4
This model is a fine-tuned version of ShenaoZ/0.001_ablation_5iters_bs256_nodpo_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More i... | [
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null | transformers |
# Uploaded model
- **Developed by:** hanifsyarubany10
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslotha... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | hanifsyarubany10/mistral-7b-100epochs-Unsloth-LaMini-1e-3 | null | [
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# Uploaded model
- Developed by: hanifsyarubany10
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | DBangshu/GPT2_var_aware | 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 | Quantizations of https://huggingface.co/stabilityai/stable-code-3b
# From original readme
## Usage
Get started generating text with `stable-code-3b` by using the following code snippet:
```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained("sta... | {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "stable-code-3b", "stabilityai"], "inference": false, "pipeline_tag": "text-generation"} | duyntnet/stable-code-3b-imatrix-GGUF | null | [
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| Quantizations of URL
# From original readme
## Usage
Get started generating text with 'stable-code-3b' by using the following code snippet:
### Run with Fill in Middle (FIM) ️
<details>
<summary> Click to expand </summary>
</details>
### Run with Flash Attention 2 ️
<details>
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text-generation | transformers | <img src="./ninjalogo.svg" width="100%" height="20%" alt="">
# Our Models
- [Vecteus](https://huggingface.co/Local-Novel-LLM-project/Vecteus-v1)
- [Ninja-v1](https://huggingface.co/Local-Novel-LLM-project/Ninja-v1)
- [Ninja-v1-NSFW](https://huggingface.co/Local-Novel-LLM-project/Ninja-v1-NSFW)
- [Ninja-v1-128k](h... | {"language": ["en", "ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["finetuned"], "pipeline_tag": "text-generation"} | Local-Novel-LLM-project/Ninja-v1 | null | [
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| <img src="./URL" width="100%" height="20%" alt="">
# Our Models
- Vecteus
- Ninja-v1
- Ninja-v1-NSFW
- Ninja-v1-128k
- Ninja-v1-NSFW-128k
## Model Card for Ninja-v1.0
The Mistral-7B--based Large Language Model (LLM) is an noveldataset fine-tuned version of the Mistral-7B-v0.1
Ninja has the following changes... | [
"# Our Models\n- Vecteus\n\n- Ninja-v1 \n\n- Ninja-v1-NSFW\n\n- Ninja-v1-128k\n\n- Ninja-v1-NSFW-128k",
"## Model Card for Ninja-v1.0\n\nThe Mistral-7B--based Large Language Model (LLM) is an noveldataset fine-tuned version of the Mistral-7B-v0.1\n\nNinja has the following changes compared to Mistral-7B-v0.1.\n- ... | [
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | leegihan123/Meta-Llama-3-8B-Instruct | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nYou can run conversational inference using the Transformers pipeline abstraction, or by leveraging the Auto classes with the 'generate()' function. Let's see examples of both.",
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text-generation | transformers | # LAION LeoLM: **L**inguistically **E**nhanced **O**pen **L**anguage **M**odel
Meet LeoLM, the first open and commercially available German Foundation Language Model built on Llama-2.
Our models extend Llama-2's capabilities into German through continued pretraining on a large corpus of German-language and mostly loca... | {"language": ["en", "de"], "library_name": "transformers", "datasets": ["LeoLM/OpenSchnabeltier", "OpenAssistant/OASST-DE", "FreedomIntelligence/alpaca-gpt4-deutsch", "FreedomIntelligence/evol-instruct-deutsch", "LeoLM/German_Poems", "LeoLM/German_Songs"], "pipeline_tag": "text-generation"} | titanbot/LeoLM-hesseianai-13b-chat | null | [
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========================================================
Meet LeoLM, the first open and commercially available German Foundation Language Model built on Llama-2.
Our models extend Llama-2's capabilities into German through continued pretraining on a large corpu... | [] | [
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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. -->
# 2404v7
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/ro... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cased-te", "model-index": [{"name": "2404v7", "results": []}]} | adriansanz/2404v7 | null | [
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| 2404v7
======
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6435
* Accuracy: 0.8487
* Precision: 0.8488
* Recall: 0.8487
* F1: 0.8487
* Ratio: 0.4916
Model description
-----------------
More... | [
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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-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session7
This model is a fine-tuned version of [nsugianto/detr-res... | {"tags": ["generated_from_trainer"], "base_model": "nsugianto/detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session7", "model-index": [{"name": "detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session7", "results": []}]} | nsugianto/detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session7 | null | [
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|
# detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session7
This model is a fine-tuned version of nsugianto/detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session7 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information need... | [
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null | transformers |
# Uploaded model
- **Developed by:** linh5nb
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | linh5nb/llama3_test | null | [
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|
# Uploaded model
- Developed by: linh5nb
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | thusinh1969/LLaMA-2-finetune-cp57900-ep1.5-20APRIL2024 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": ["trl", "sft"]} | la-min/GPT2_Myanmar | null | [
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### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | Prompt Example:
```
### System:
You are an AI assistant. User will give you a task. Your goal is to complete the task as faithfully as you can. While performing the task think step-by-step and justify your steps.
### User:
How do you fine tune a large language model?
### Assistant:
``` | {"license": "llama3"} | KnutJaegersberg/Llama-3-Deita-8b | null | [
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| Prompt Example:
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt2-TherapyV2
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model description
M... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "gpt2-TherapyV2", "results": []}]} | eeshakrishna2002/gpt2-TherapyV2 | null | [
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|
# gpt2-TherapyV2
This model is a fine-tuned version of [](URL on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following h... | [
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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_v2_noTransform_15
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resn... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr_v2_noTransform_15", "results": []}]} | ssamperr/detr_v2_noTransform_15 | null | [
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|
# detr_v2_noTransform_15
This model is a fine-tuned version of facebook/detr-resnet-50 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpara... | [
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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. -->
# nlp_cw_bert-base-uncased-abbr
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/googl... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "nlp_cw_bert-base-uncased-abbr", "results": []}]} | cogniveon/nlp_cw_bert-base-uncased-abbr | null | [
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|
# nlp_cw_bert-base-uncased-abbr
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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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. -->
# outputs
This model is a fine-tuned version of [unsloth/llama-2-7b-bnb-4bit](https://huggingface.co/unsloth/llama-2-7b-bnb-4bit) ... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer"], "base_model": "unsloth/llama-2-7b-bnb-4bit", "model-index": [{"name": "outputs", "results": []}]} | Mandalor09/outputs | null | [
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|
# outputs
This model is a fine-tuned version of unsloth/llama-2-7b-bnb-4bit on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
T... | [
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