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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. -->
# beit-base-patch16-224-pt22k-finetuned-IDRiD
This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k](https:... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "beit-base-patch16-224-pt22k-finetuned-IDRiD", "results": []}]} | SJChaudhuri/beit-base-patch16-224-pt22k-finetuned-IDRiD | null | [
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| beit-base-patch16-224-pt22k-finetuned-IDRiD
===========================================
This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1881
* Accuracy: 0.5714
Model description
-----------------
... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | JordanYussac/Llama-2-7b-customer-service | null | [
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#peft #pytorch #llama #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# DreamBooth - sungyub/ldm3d_test
This is a dreambooth model derived from Intel/ldm3d. The weights were trained on a phot... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "Intel/ldm3d", "inference": true, "instance_prompt": "a photo of sks yellow bulldozer lego"} | sungyub/ldm3d_test | null | [
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|
# DreamBooth - sungyub/ldm3d_test
This is a dreambooth model derived from Intel/ldm3d. The weights were trained on a photo of sks yellow bulldozer lego using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
## Intended uses & limitations
####... | [
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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": []} | rizkiduwinanto/final-bart-question-generation | 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-classification | null | # Sentiment Analysis Flask App
This Flask web application uses a pre-trained Transformer model to perform sentiment analysis on user-provided text. The model predicts whether the sentiment of the input text is positive, negative, or neutral.
## Model Architecture
The implemented model leverages a Transformer archite... | {"language": ["en"], "license": "mit", "tags": ["NLP", "Sentiment_analysis"], "pipeline_tag": "text-classification"} | shikhararyan/trasformer_text_classification_model | null | [
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| # Sentiment Analysis Flask App
This Flask web application uses a pre-trained Transformer model to perform sentiment analysis on user-provided text. The model predicts whether the sentiment of the input text is positive, negative, or neutral.
## Model Architecture
The implemented model leverages a Transformer archite... | [
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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": []} | samaysk/ft1to70mergedmegaspringllamaft | 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 | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-100epochs-LoRA-LaMini
This model is a fine-tuned version of [ybelkada/Mistral-7B-v0.1-bf16-sharded](https://huggingfa... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "ybelkada/Mistral-7B-v0.1-bf16-sharded", "model-index": [{"name": "mistral-7b-100epochs-LoRA-LaMini", "results": []}]} | hanifsyarubany10/mistral-7b-100epochs-LoRA-LaMini-1e-3 | null | [
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|
# mistral-7b-100epochs-LoRA-LaMini
This model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# agent593/food_classifier
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-b... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "agent593/food_classifier", "results": []}]} | agent593/food_classifier | null | [
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| agent593/food\_classifier
=========================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.3743
* Validation Loss: 0.3299
* Train Accuracy: 0.929
* Epoch: 4
Model description
----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'keras.optimizers.schedules', 'class\\_name': 'PolynomialDecay', 'config': {'initial\\_learning\\_rate': 3e-05, 'decay\\_steps': 20000, 'end\\_learn... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Base GA-EN Speech Translation
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/... | {"language": ["ga", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["generated_from_trainer"], "datasets": ["ymoslem/IWSLT2023-GA-EN"], "metrics": ["bleu", "wer", "chrf"], "base_model": "openai/whisper-base", "model-index": [{"name": "Whisper Base GA-EN Speech Translation", "results": []}]} | ymoslem/whisper-base-ga2en-v1.1 | null | [
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| Whisper Base GA-EN Speech Translation
=====================================
This model is a fine-tuned version of openai/whisper-base on an unknown dataset.
The best model based on ChrF (this version) is at checkpoint 1000, epoch 3.72, and it achieves the following results on the evaluation set:
* Loss: 2.2482
* Bl... | [
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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. -->
# TTC4900Model
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "roberta-base", "model-index": [{"name": "TTC4900Model", "results": []}]} | waelChafei/RobertaTuned | null | [
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| TTC4900Model
============
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5463
* Accuracy: 0.8381
* F1: 0.7260
* Precision: 0.7596
* Recall: 0.7047
Model description
-----------------
More information needed
Intended ... | [
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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. -->
# BitLlama2-jp-127M-optim-1
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves t... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "BitLlama2-jp-127M-optim-1", "results": []}]} | HachiML/BitLlama2-jp-127M-optim-1 | null | [
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| BitLlama2-jp-127M-optim-1
=========================
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.3189
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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text-to-image | diffusers | ### Movie Poster generation sdxl on Stable Diffusion via Dreambooth
#### model by dhanyabahadur
This your the Stable Diffusion model fine-tuned the Movie Poster generation sdxl concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the `instance_prompt`: **<movie-poster> movie poster**
You can... | {"license": "creativeml-openrail-m", "tags": ["text-to-image"]} | sd-dreambooth-library/movie-poster-generation-sdxl | null | [
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| ### Movie Poster generation sdxl on Stable Diffusion via Dreambooth
#### model by dhanyabahadur
This your the Stable Diffusion model fine-tuned the Movie Poster generation sdxl concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the 'instance_prompt': <movie-poster> movie poster
You can als... | [
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text-generation | transformers | # [MaziyarPanahi/Inex12Neural-7B-GGUF](https://huggingface.co/MaziyarPanahi/Inex12Neural-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Inex12Neural-7B](https://huggingface.co/automerger/Inex12Neural-7B)
## Description
[MaziyarPanahi/Inex12Neural-7B-GGUF](https:... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:MSL7/INEX12-7b", "base_model:Kukedlc/Neural-Krishna-Multiverse-7b-v3", "license:apache-2.0", "autotrain_compati... | MaziyarPanahi/Inex12Neural-7B-GGUF | null | [
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... | null | 2024-04-01T13:19:42+00:00 | [] | [] | TAGS
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- Model creator: automerger
- Original model: automerger/Inex12Neural-7B
## Description
MaziyarPanahi/Inex12Neural-7B-GGUF contains GGUF format model files for automerger/Inex12Neural-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GGUF models:
... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-wikitext2", "results": []}]} | Tiffany0313/distilgpt2-finetuned-wikitext2 | null | [
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| distilgpt2-finetuned-wikitext2
==============================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.7886
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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null | transformers | ## About
static quants of https://huggingface.co/Severian/ANIMA-Phi-Neptune-Mistral-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a ... | {"language": ["en"], "license": "artistic-2.0", "library_name": "transformers", "tags": ["chemistry", "biology", "climate", "science", "philosophy", "nature", "ecology", "biomimicry", "fauna", "flora"], "datasets": ["Severian/Biomimicry", "emrgnt-cmplxty/sciphi-textbooks-are-all-you-need", "fmars/wiki_stem", "fblgit/tr... | mradermacher/ANIMA-Phi-Neptune-Mistral-7B-GGUF | null | [
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-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** velocity-engg
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-7b-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/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-2-7b-bnb-4bit"} | velocity-engg/model_SDR_new | null | [
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] | null | 2024-04-01T13:27:15+00:00 | [] | [
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|
# Uploaded model
- Developed by: velocity-engg
- License: apache-2.0
- Finetuned from model : unsloth/llama-2-7b-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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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# nlp-xxl-debug
This model is a fine-tuned version of [DTAI-KULeuven/robbert-2023-dutch-large](https://huggingface.co/DTAI-KULeuve... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "DTAI-KULeuven/robbert-2023-dutch-large", "model-index": [{"name": "nlp-xxl-debug", "results": []}]} | helena-balabin/nlp-xxl-debug | null | [
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|
# nlp-xxl-debug
This model is a fine-tuned version of DTAI-KULeuven/robbert-2023-dutch-large 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 h... | [
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text-generation | transformers |
This repository hosts exl2 quantization for [Endevor/InfinityRP-v1-7B](https://huggingface.co/Endevor/InfinityRP-v1-7B).
**Original model information:**
This is an experimental model I currently use. It's far from great as I'm still working on it, but I leave it here ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["exl2", "quantized", "roleplay", "5.0bpw", "mistral", "merge", "nsfw"], "inference": false, "base_model": ["ResplendentAI/Datura_7B", "ChaoticNeutrals/Eris_Floramix_DPO_7B"]} | TheVisitorX/InfinityRP-v1-7B-5.0bpw-exl2 | null | [
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|
This repository hosts exl2 quantization for Endevor/InfinityRP-v1-7B.
Original model information:
!waifu/jpeg
This is an experimental model I currently use. It's far from great as I'm still working on it, but I leave it here for people to try if interested in this format.
This model was basically made to stop some ... | [
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text-generation | transformers | # merged
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Nexusflow/Starling-LM-7B-beta](https://hug... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Nexusflow/Starling-LM-7B-beta", "mistralai/Mistral-7B-Instruct-v0.2"]} | rjamorizIAtest/merge | null | [
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"region:us"
] | null | 2024-04-01T13:29:06+00:00 | [] | [] | TAGS
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| # merged
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Nexusflow/Starling-LM-7B-beta
* mistralai/Mistral-7B-Instruct-v0.2
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | clemiissimo/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-01T13:32:57+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
text-generation | transformers |
# 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": []} | ankhamun/acolyte-1 | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T13:33:45+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# Output_LayoutLMv3_v2
This model is a fine-tuned version of [microsoft/layoutlmv3-large](https://huggingface.co/microsoft/layoutl... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "datasets": ["Noureddinesa/LayoutLmv3"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/layoutlmv3-large", "model-index": [{"name": "Output_LayoutLMv3_v2", "results": []}]} | Noureddinesa/Output_LayoutLMv3_v2 | null | [
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| Output\_LayoutLMv3\_v2
======================
This model is a fine-tuned version of microsoft/layoutlmv3-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1240
* Precision: 0.8174
* Recall: 0.8319
* F1: 0.8246
* Accuracy: 0.9762
Model description
-----------------
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-07\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 3500",
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question-answering | transformers |
# DistilBERT with a second step of distillation
## Model description
This model replicates the "DistilBERT (D)" model from Table 2 of the [DistilBERT paper](https://arxiv.org/pdf/1910.01108.pdf). In this approach, a DistilBERT student is fine-tuned on SQuAD v1.1, but with a BERT model (also fine-tuned on SQuAD v1.1)... | {"language": ["en"], "license": "apache-2.0", "tags": ["question-answering"], "datasets": ["squad"], "metrics": ["squad"], "thumbnail": "https://github.com/karanchahal/distiller/blob/master/distiller.jpg"} | alex-atelo/distilbert-base-uncased-finetuned-squad-d5716d28 | null | [
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"region:us"
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"1910.01108"
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#transformers #pytorch #distilbert #fill-mask #question-answering #en #dataset-squad #arxiv-1910.01108 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| DistilBERT with a second step of distillation
=============================================
Model description
-----------------
This model replicates the "DistilBERT (D)" model from Table 2 of the DistilBERT paper. In this approach, a DistilBERT student is fine-tuned on SQuAD v1.1, but with a BERT model (also fine-... | [
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] |
null | transformers | ## About
static quants of https://huggingface.co/deepnight-research/saily-13b-v0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Commun... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["7B", "Saily", "DEEPNIGHT", "Llama", "Llama2"], "base_model": "deepnight-research/saily-13b-v0", "quantized_by": "mradermacher"} | mradermacher/saily-13b-v0-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-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": []} | 0x0mom/sl1 | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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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. -->
# wav2vec2-tamil-finetuned-400
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/faceboo... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_11_0"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-tamil-finetuned-400", "results": []}]} | Vignesh-M/wav2vec2-tamil-finetuned-400 | null | [
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|
# wav2vec2-tamil-finetuned-400
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_11_0 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure... | [
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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": []} | B2111797/recipe_v1_lr1e-3_wu4000_epo2.5 | 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:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-50epochs-LoRA-LaMini-2e-4
This model is a fine-tuned version of [ybelkada/Mistral-7B-v0.1-bf16-sharded](https://huggi... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "ybelkada/Mistral-7B-v0.1-bf16-sharded", "model-index": [{"name": "mistral-7b-50epochs-LoRA-LaMini-2e-4", "results": []}]} | hanifsyarubany10/mistral-7b-50epochs-LoRA-LaMini-2e-4 | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-ybelkada/Mistral-7B-v0.1-bf16-sharded #region-us
|
# mistral-7b-50epochs-LoRA-LaMini-2e-4
This model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training ... | [
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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": []} | axel-rda/Mistral-7B-Instruct-v0.1-qlora-sft-adapters | null | [
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"endpoints_compatible",
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] | [] | TAGS
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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):
- License... | [
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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": []} | axel-rda/Mistral-7B-Instruct-v0.1-qlora-sft | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | wiselychung/mistral_7b_finetuned_risk | null | [
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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": "NousResearch/Llama-2-7b-chat-hf"} | jester20/llama-2-7b-adalora-platypus | null | [
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## Model Details
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### Model Sources [optional]
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null | transformers |
# Uploaded model
- **Developed by:** maghrane
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-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/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | maghrane/mistralQOCR16BIT | null | [
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# Uploaded model
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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. -->
# multi_roberta
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
I... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "roberta-base", "model-index": [{"name": "multi_roberta", "results": []}]} | gilmark123/multi_roberta | null | [
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|
# multi_roberta
This model is a fine-tuned version of roberta-base on an unknown dataset.
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- Loss: 0.5617
- Accuracy: 0.7767
- F1: 0.7770
- Confusion Matrix: [[684, 171, 16], [155, 796, 151], [24, 153, 850]]
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More information needed
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | clemiissimo/ppo-Huggy | null | [
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|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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text-to-image | diffusers | ### My-DREAM-PLACE Dreambooth model trained by Mansii754 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: R210922106046
Sample pictures of this concept:
.jpg)
![1](htt... | {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | Mansii754/my-dream-place | null | [
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#diffusers #safetensors #NxtWave-GenAI-Webinar #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ### My-DREAM-PLACE Dreambooth model trained by Mansii754 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: R210922106046
Sample pictures of this concept:
!0.jpg)
!1.jpg)
!2.jpg)
!3.jpg)
!4.jpg)
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null | null | This is future home of the Hyperus-Mikus-Poopmaster Drum Pretrain, or the HMPDP for short. | {"license": "openrail"} | RegalHyperus/HMP-Drum-Pretrain | null | [
"license:openrail",
"region:us"
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#license-openrail #region-us
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text-generation | transformers |
# TinyQwex-4x620M-MoE
TinyQwex-4x620M-MoE is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Qwen/Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B)
* [Qwen/Qwen1.5-0.5B](https://huggingface.c... | {"license": "apache-2.0", "tags": ["moe", "merge", "mergekit", "lazymergekit", "Qwen/Qwen1.5-0.5B"]} | Isotonic/TinyQwex-4x620M-MoE | null | [
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"text-generation-inference",
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] | null | 2024-04-01T13:56:15+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #merge #mergekit #lazymergekit #Qwen/Qwen1.5-0.5B #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# TinyQwex-4x620M-MoE
TinyQwex-4x620M-MoE is a Mixure of Experts (MoE) made with the following models using LazyMergekit:
* Qwen/Qwen1.5-0.5B
* Qwen/Qwen1.5-0.5B
* Qwen/Qwen1.5-0.5B
* Qwen/Qwen1.5-0.5B
Buying me coffee is a direct way to show support for this project.
<a href="URL src="URL alt=""></a>
## Usage
... | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Vignesh-M/wav2vec2-tamil-finetuned-500 | null | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"arxiv:1910.09700",
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#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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null | null | igual que semana3-patrones-escalonados-1 y 2 pero con imagenes con el color negro transparente | {} | Giux22/semana3-patrones-escalonados-3 | null | [
"region:us"
] | null | 2024-04-01T13:58:12+00:00 | [] | [] | TAGS
#region-us
| igual que semana3-patrones-escalonados-1 y 2 pero con imagenes con el color negro transparente | [] | [
"TAGS\n#region-us \n"
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"TAGS\n#region-us \n"
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1711979882345x782042711951169000
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
in the style of TOK
```
Use this keyword to trigger your custom model in your pro... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["TheAkiramaster/HazbinSTYLEHotel"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "in the style of TOK", "inference": false} | squaadinc/1711979882345x782042711951169000 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:TheAkiramaster/HazbinSTYLEHotel",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-01T13:58:12+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-TheAkiramaster/HazbinSTYLEHotel #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1711979882345x782042711951169000
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
"# LoRA DreamBooth - squaadinc/1711979882345x782042711951169000\nThese are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer. \nThe weights were trained on the concept prompt: \n \nUse this keyword to trigger your custom model in your prompts. \nLoRA for the te... | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-TheAkiramaster/HazbinSTYLEHotel #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us \n",
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null | null | # #Roleplay #Multimodal #Vision
This repository hosts GGUF-IQ-Imatrix quants for [Nitral-AI/Kukul-Stanta-0.420-32k-7B-0.2](https://huggingface.co/Nitral-AI/Kukul-Stanta-0.420-32k-7B-0.2).
"It's Kukul time!"
**Recommended starting [SillyTavern presets here](https://huggingface.co/Lewdiculous/Eris_PrimeV4-Vision-32k-7... | {"tags": ["gguf", "quantized", "roleplay", "multimodal", "vision", "llava", "sillytavern", "merge", "mistral", "conversational"], "inference": false, "base_model": ["Nitral-AI/Eris_PrimeV4.20-Vision-32k-7B", "Nitral-AI/KukulStanta-7B"]} | Lewdiculous/Kukul-Stanta-0.420-32k-7B-0.2-GGUF-IQ-Imatrix | null | [
"gguf",
"quantized",
"roleplay",
"multimodal",
"vision",
"llava",
"sillytavern",
"merge",
"mistral",
"conversational",
"base_model:Nitral-AI/Eris_PrimeV4.20-Vision-32k-7B",
"base_model:Nitral-AI/KukulStanta-7B",
"region:us"
] | null | 2024-04-01T13:58:27+00:00 | [] | [] | TAGS
#gguf #quantized #roleplay #multimodal #vision #llava #sillytavern #merge #mistral #conversational #base_model-Nitral-AI/Eris_PrimeV4.20-Vision-32k-7B #base_model-Nitral-AI/KukulStanta-7B #region-us
| # #Roleplay #Multimodal #Vision
This repository hosts GGUF-IQ-Imatrix quants for Nitral-AI/Kukul-Stanta-0.420-32k-7B-0.2.
"It's Kukul time!"
Recommended starting SillyTavern presets here.
This is a #multimodal model that also has #vision capabilities. <br> Read the full card information if you also want to use that... | [
"# #Roleplay #Multimodal #Vision\n\nThis repository hosts GGUF-IQ-Imatrix quants for Nitral-AI/Kukul-Stanta-0.420-32k-7B-0.2.\n\n\"It's Kukul time!\"\n\nRecommended starting SillyTavern presets here.\n\nThis is a #multimodal model that also has #vision capabilities. <br> Read the full card information if you also w... | [
"TAGS\n#gguf #quantized #roleplay #multimodal #vision #llava #sillytavern #merge #mistral #conversational #base_model-Nitral-AI/Eris_PrimeV4.20-Vision-32k-7B #base_model-Nitral-AI/KukulStanta-7B #region-us \n",
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | yann-j/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-01T13:59:48+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add you... | [
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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | KGsteven/0401credit_card_labels-distilroberta-finetuned-banking77 | null | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T14:00:58+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #roberta #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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"TAGS\n#transformers #safetensors #roberta #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
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"## Model Details",
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text-generation | transformers | # [MaziyarPanahi/ShadowExperiment24-7B-GGUF](https://huggingface.co/MaziyarPanahi/ShadowExperiment24-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/ShadowExperiment24-7B](https://huggingface.co/automerger/ShadowExperiment24-7B)
## Description
[MaziyarPanahi/Shad... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:yam-peleg/Experiment24-7B", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-generat... | MaziyarPanahi/ShadowExperiment24-7B-GGUF | null | [
"transformers",
"gguf",
"mistral",
"quantized",
"2-bit",
"3-bit",
"4-bit",
"5-bit",
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"mergekit",
"lazymergekit",
"automerger",
"base_model:yam-peleg/Experiment24-7B",
"license:apache-2.0",
"autotrain_compatible... | null | 2024-04-01T14:02:55+00:00 | [] | [] | TAGS
#transformers #gguf #mistral #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #GGUF #safetensors #text-generation #merge #mergekit #lazymergekit #automerger #base_model-yam-peleg/Experiment24-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us #base_model-au... | # MaziyarPanahi/ShadowExperiment24-7B-GGUF
- Model creator: automerger
- Original model: automerger/ShadowExperiment24-7B
## Description
MaziyarPanahi/ShadowExperiment24-7B-GGUF contains GGUF format model files for automerger/ShadowExperiment24-7B.
## How to use
Thanks to TheBloke for preparing an amazing README on h... | [
"# MaziyarPanahi/ShadowExperiment24-7B-GGUF\n- Model creator: automerger\n- Original model: automerger/ShadowExperiment24-7B",
"## Description\nMaziyarPanahi/ShadowExperiment24-7B-GGUF contains GGUF format model files for automerger/ShadowExperiment24-7B.",
"## How to use\nThanks to TheBloke for preparing an am... | [
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text-generation | transformers |
This repository hosts exl2 quantization for [Endevor/InfinityRP-v1-7B](https://huggingface.co/Endevor/InfinityRP-v1-7B).
**Original model information:**
This is an experimental model I currently use. It's far from great as I'm still working on it, but I leave it here ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["exl2", "quantized", "roleplay", "3.0bpw", "mistral", "merge", "nsfw"], "inference": false, "base_model": ["ResplendentAI/Datura_7B", "ChaoticNeutrals/Eris_Floramix_DPO_7B"]} | TheVisitorX/InfinityRP-v1-7B-3.0bpw-exl2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"exl2",
"quantized",
"roleplay",
"3.0bpw",
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"base_model:ChaoticNeutrals/Eris_Floramix_DPO_7B",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inferen... | null | 2024-04-01T14:04:46+00:00 | [] | [
"en"
] | TAGS
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|
This repository hosts exl2 quantization for Endevor/InfinityRP-v1-7B.
Original model information:
!waifu/jpeg
This is an experimental model I currently use. It's far from great as I'm still working on it, but I leave it here for people to try if interested in this format.
This model was basically made to stop some ... | [
"### Style details:\n- Quotes are used for character dialogs.\n - '\"Hey, Anon... What do you think about my style?\"'\n- Asterisks can be used for narration, but it's optional, it's recommended to use default novel format.\n - '*Her cheeks blush slightly, she tries to hide.*'\n- Character thoughts are wrapped wi... | [
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object-detection | null |
# About **ULTIMA-YOLO** models
<div style="display: flex;">
<img src="./0th.png" style="width: auto; height: auto; margin-right: 10px;">
</div>
<div style="display: flex;">
<img src="./1st.jpg" style="width: auto; height: auto; margin-right: 10px;">
</div>
<div style="display: flex;">
<img src="./2nd.png" sty... | {"license": "other", "tags": ["YOLO", "YOLOv9"], "datasets": ["UmaDiffusion/ULTIMA-YOLO"], "license_name": "umamusume-derivativework-guidelines", "license_link": "https://umamusume.jp/derivativework_guidelines/", "pipeline_tag": "object-detection"} | UmaDiffusion/ULTIMA-YOLOv9 | null | [
"YOLO",
"YOLOv9",
"object-detection",
"dataset:UmaDiffusion/ULTIMA-YOLO",
"arxiv:2402.13616",
"license:other",
"region:us"
] | null | 2024-04-01T14:07:10+00:00 | [
"2402.13616"
] | [] | TAGS
#YOLO #YOLOv9 #object-detection #dataset-UmaDiffusion/ULTIMA-YOLO #arxiv-2402.13616 #license-other #region-us
| About ULTIMA-YOLO models
========================
This is a part of ULTIMA project.
ULTIMA is Uma Musume Labeled Text-Image Multimodal Alignment.
ULTIMA-YOLOv9 model is a facial detection model for Uma Musumes in illustrations and based on yolov9-e and ULTIMA-YO... | [
"### How to Use\n\n\nClone YOLOv9 repository.\n\n\nDownload the weights using 'hf\\_hub\\_download' and use the loading function in helpers of YOLOv9.\n\n\nLoad the model.\n\n\nor use 'URL' in yolov9 repo.\n\n\nTraining Infomation\n===================\n\n\n* Batch Size: 32\n* Resolution: 640\n* Epochs: 300, chosen ... | [
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text-to-image | diffusers |
# Model Card for ccxl
idk what this is i just converted it for someone | {"library_name": "diffusers", "pipeline_tag": "text-to-image"} | neggles/ccxl | null | [
"diffusers",
"safetensors",
"text-to-image",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-01T14:07:52+00:00 | [] | [] | TAGS
#diffusers #safetensors #text-to-image #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Model Card for ccxl
idk what this is i just converted it for someone | [
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] |
sentence-similarity | sentence-transformers |
# peulsilva/phrase-bert-setfit-50shots-RAFT-TWITTER-EMOTION
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Trans... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | peulsilva/phrase-bert-setfit-50shots-RAFT-TWITTER-EMOTION | null | [
"sentence-transformers",
"safetensors",
"bert",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T14:13:07+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# peulsilva/phrase-bert-setfit-50shots-RAFT-TWITTER-EMOTION
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sente... | [
"# peulsilva/phrase-bert-setfit-50shots-RAFT-TWITTER-EMOTION\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.",
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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": "ai-forever/rugpt3medium_based_on_gpt2"} | DinaYatsuk/tass_peft_test2 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:ai-forever/rugpt3medium_based_on_gpt2",
"region:us"
] | null | 2024-04-01T14:17:33+00:00 | [
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text-generation | transformers |
# Occiglot-7B-FR-EN
> A [polyglot](https://en.wikipedia.org/wiki/Multilingualism#In_individuals) language model for the [Occident](https://en.wikipedia.org/wiki/Occident).
>
**Occiglot-7B-FR-EN** is a generative language ... | {"language": ["en", "fr"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | mayflowergmbh/occiglot-7b-fr-en-instruct-AWQ | null | [
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| !image/png
Occiglot-7B-FR-EN
=================
>
> A polyglot language model for the Occident.
>
>
>
Occiglot-7B-FR-EN is a generative language model with 7B parameters for French and English and trained by the Occiglot Research Collective.
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text-generation | transformers |
# outputs
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) using [trl](https://github.com/huggingface/trl) on [ultrafeedback dataset](https://huggingface.co/datasets/HuggingFaceH4/ultrafeedback_binarized).
# What's new
A test for orpo method using trl library.
## How to... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "pipeline_tag": "text-generation"} | amu/orpo-phi2 | null | [
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|
# outputs
This model is a fine-tuned version of microsoft/phi-2 using trl on ultrafeedback dataset.
# What's new
A test for orpo method using trl library.
## How to reproduce
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text-generation | transformers |
# Occiglot-7B-ES-EN
> A [polyglot](https://en.wikipedia.org/wiki/Multilingualism#In_individuals) language model for the [Occident](https://en.wikipedia.org/wiki/Occident).
>
**Occiglot-7B-ES-EN** is a generative language ... | {"language": ["en", "es"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | mayflowergmbh/occiglot-7b-es-en-instruct-AWQ | null | [
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| !image/png
Occiglot-7B-ES-EN
=================
>
> A polyglot language model for the Occident.
>
>
>
Occiglot-7B-ES-EN is a generative language model with 7B parameters for Spanish and English and trained by the Occiglot Research Collective.
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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. -->
# test-results
This model was trained from scratch on the common_voice_11_0 dataset.
It achieves the following results on the eval... | {"tags": ["generated_from_trainer"], "datasets": ["common_voice_11_0"], "metrics": ["wer"], "model-index": [{"name": "test-results", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "common_voice_11_0", "type": "common_voice_11_0", "config": "ar"... | MariaOlb/test-results | null | [
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| test-results
============
This model was trained from scratch on the common\_voice\_11\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 3.3797
* Wer: 1.0
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More infor... | [
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text-generation | transformers |
# Occiglot-7B-IT-EN
> A [polyglot](https://en.wikipedia.org/wiki/Multilingualism#In_individuals) language model for the [Occident](https://en.wikipedia.org/wiki/Occident).
>
**Occiglot-7B-IT-EN** is a generative language ... | {"language": ["en", "it"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | mayflowergmbh/occiglot-7b-it-en-instruct-AWQ | null | [
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| !image/png
Occiglot-7B-IT-EN
=================
>
> A polyglot language model for the Occident.
>
>
>
Occiglot-7B-IT-EN is a generative language model with 7B parameters for Italian and English and trained by the Occiglot Research Collective..
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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. -->
# phi-1_5-finetuned-sbc-modified
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-sbc-modified", "results": []}]} | mohits01/phi-1_5-finetuned-sbc-modified | null | [
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|
# phi-1_5-finetuned-sbc-modified
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpa... | [
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text-generation | transformers |
<p align="center">
<img width="1000px" alt="DeepSeek Coder" src="https://github.com/deepseek-ai/DeepSeek-Coder/blob/main/pictures/logo.png?raw=true">
</p>
<p align="center"><a href="https://www.deepseek.com/">[🏠Homepage]</a> | <a href="https://coder.deepseek.com/">[🤖 Chat with DeepSeek Coder]</a> | <a href="htt... | {"license": "other", "license_name": "deepseek", "license_link": "LICENSE"} | TechxGenus/deepseek-coder-33b-instruct-AQLM | null | [
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|
<p align="center">
<img width="1000px" alt="DeepSeek Coder" src="URL
</p>
<p align="center"><a href="URL | <a href="URL Chat with DeepSeek Coder]</a> | <a href="URL | <a href="URL(微信)]</a> </p>
<hr>
AQLM quantized version of deepseek-coder-33b-instruct model.
Refer to the official GitHub repo for more informat... | [
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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": []} | sazirarrwth99/phi-prototype-triplets | 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-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. -->
# sst2_bert
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "bert-base-uncased", "model-index": [{"name": "sst2_bert", "results": []}]} | gilmark123/sst2_bert | null | [
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|
# sst2_bert
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3014
- Accuracy: 0.9278
- F1: 0.9302
- Confusion Matrix: [[389, 39], [24, 420]]
## Model description
More information needed
## Intended uses & limitations... | [
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text-to-image | diffusers |
## No-Code SDXL Finetuning using MonsterAPI
Input Dataset --
### No-Code Solution: Use MonsterAPI to easily fine-tune the SDXL model.
**Finetune Stable Diffusion on your own images - [Comple... | {"tags": ["text-to-image", "diffusers", "autotrain"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "There is a truck like the Ford F series. The background is a wide road cartoon,outline,simple,flat", "inference": true} | monsterapi/sdxl_car_finetuning | null | [
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#diffusers #text-to-image #autotrain #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
## No-Code SDXL Finetuning using MonsterAPI
Input Dataset --
!image/png
### No-Code Solution: Use MonsterAPI to easily fine-tune the SDXL model.
Finetune Stable Diffusion on your own images - Complete Guide
Finetuning Documentation: Fine-tune an SDXL Model
### Deploy Your Model: One-Click deploy your Finet... | [
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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. -->
# BERTModified-rawbert-finetuned-wikitext-test
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "BERTModified-rawbert-finetuned-wikitext-test", "results": []}]} | Sreelalvarier/BERTModified-rawbert-finetuned-wikitext-test | null | [
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#safetensors #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #region-us
| BERTModified-rawbert-finetuned-wikitext-test
============================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 20.9598
* Precision: 0.0387
* Recall: 0.0387
* F1: 0.0387
* Accuracy: 0.0387... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 20",
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text-generation | transformers |
# 🌲 Hinoki-Sak-Sta-slerp-7B
Hinoki-Sak-Sta-slerp-7B is a merge of the following models using the [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing) of [Maxime Labonne](https://huggingface.co/mlabonne) powered by [MergeKit](https://github.com/arcee-ai/mergekit) of [A... | {"language": ["ja"], "tags": ["merge", "mergekit", "lazymergekit", "SakanaAI/EvoLLM-JP-A-v1-7B", "stabilityai/japanese-stablelm-base-gamma-7b"], "base_model": ["SakanaAI/EvoLLM-JP-A-v1-7B", "stabilityai/japanese-stablelm-base-gamma-7b"]} | AkimfromParis/Hinoki-Sak-Sta-slerp-7B | null | [
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# Hinoki-Sak-Sta-slerp-7B
Hinoki-Sak-Sta-slerp-7B is a merge of the following models using the LazyMergekit of Maxime Labonne powered by MergeKit of Arcee AI:
* SakanaAI/EvoLLM-JP-A-v1-7B (Base model)
* stabilityai/japanese-stablelm-base-gamma-7b
## Configuration
## Usage for HuggingFace
# Citation
URL | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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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": []} | 0x0son0/m_303 | null | [
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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": []} | rizkiduwinanto/final-bart-distractor-generation | null | [
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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. -->
# bert-finetuned-sem_eval-english
This model is a fine-tuned version of [SamLowe/roberta-base-go_emotions](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy"], "base_model": "SamLowe/roberta-base-go_emotions", "model-index": [{"name": "bert-finetuned-sem_eval-english", "results": []}]} | Kritawat/bert-finetuned-sem_eval-english | null | [
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| bert-finetuned-sem\_eval-english
================================
This model is a fine-tuned version of SamLowe/roberta-base-go\_emotions on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1189
* F1: 0.5833
* Roc Auc: 0.7555
* Accuracy: 0.3939
Model description
---------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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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. -->
# style-irs-from-mistral
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistra... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "style-irs-from-mistral", "results": []}]} | RuoxiL/style-irs-from-mistral | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-v0.1 #region-us
|
# style-irs-from-mistral
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hy... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | areegtarek/idefics-9b-instruct-threesplitsthreeepochs-1-2 | null | [
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# Model Card for Model ID
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sentence-similarity | sentence-transformers |
# peulsilva/phrase-bert-setfit-500shots-RAFT-TWITTER-EMOTION
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Tran... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | peulsilva/phrase-bert-setfit-500shots-RAFT-TWITTER-EMOTION | null | [
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|
# peulsilva/phrase-bert-setfit-500shots-RAFT-TWITTER-EMOTION
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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Using this model becomes easy when you have sent... | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1711982809138x608097773668508000
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
in the style of TOK
```
Use this keyword to trigger your custom model in your pro... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Frank535/JCT"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "in the style of TOK", "inference": false} | squaadinc/1711982809138x608097773668508000 | null | [
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
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#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-Frank535/JCT #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1711982809138x608097773668508000
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-100epochs-LoRA-LaMini-2e-4
This model is a fine-tuned version of [ybelkada/Mistral-7B-v0.1-bf16-sharded](https://hugg... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "ybelkada/Mistral-7B-v0.1-bf16-sharded", "model-index": [{"name": "mistral-7b-100epochs-LoRA-LaMini-2e-4", "results": []}]} | hanifsyarubany10/mistral-7b-100epochs-LoRA-LaMini-2e-4 | null | [
"peft",
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"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:ybelkada/Mistral-7B-v0.1-bf16-sharded",
"region:us"
] | null | 2024-04-01T14:48:13+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-ybelkada/Mistral-7B-v0.1-bf16-sharded #region-us
|
# mistral-7b-100epochs-LoRA-LaMini-2e-4
This model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training... | [
"# mistral-7b-100epochs-LoRA-LaMini-2e-4\n\nThis model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
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"# mistral-7b-100epochs-LoRA-LaMini-2e-4\n\nThis model is a fine-tuned version of ybelkada/Mistral-7B-v0.1-bf16-sharded on the generator dataset.",
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text-to-image | diffusers | ## No-Code SDXL Finetuning using MonsterAPI
Input Dataset --
### No-Code Solution: Use MonsterAPI to easily fine-tune the SDXL model.
Finetuning Documentation: [Fine-tune an SDXL Model](https://d... | {"tags": ["text-to-image", "diffusers", "autotrain"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a landscape of a chinese food stall within a Chinese city", "inference": true} | monsterapi/sdxl_chinatown_finetuning | null | [
"diffusers",
"text-to-image",
"autotrain",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-01T14:48:28+00:00 | [] | [] | TAGS
#diffusers #text-to-image #autotrain #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
| ## No-Code SDXL Finetuning using MonsterAPI
Input Dataset --
!image/png
### No-Code Solution: Use MonsterAPI to easily fine-tune the SDXL model.
Finetuning Documentation: Fine-tune an SDXL Model
### Deploy Your Model: One-Click deploy your Finetuned SDXL model using MonsterAPI.
Finetune Stable Diffusion on your... | [
"## No-Code SDXL Finetuning using MonsterAPI \n\nInput Dataset -- \n\n!image/png",
"### No-Code Solution: Use MonsterAPI to easily fine-tune the SDXL model.\n\nFinetuning Documentation: Fine-tune an SDXL Model",
"### Deploy Your Model: One-Click deploy your Finetuned SDXL model using MonsterAPI.\n\nFinetune Sta... | [
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text-generation | transformers | # [MaziyarPanahi/Strangemerges_32Strangemerges_30-7B-GGUF](https://huggingface.co/MaziyarPanahi/Strangemerges_32Strangemerges_30-7B-GGUF)
- Model creator: [automerger](https://huggingface.co/automerger)
- Original model: [automerger/Strangemerges_32Strangemerges_30-7B](https://huggingface.co/automerger/Strangemerges_32... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "mergekit", "merge", "base_model:Gille/StrangeMerges_32-7B-slerp", "base_model:Gille/StrangeMerges_30-7B-slerp", "autotrain_compatible", "endpoints_compatible", "text-generat... | MaziyarPanahi/Strangemerges_32Strangemerges_30-7B-GGUF | null | [
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"base_model:Gille/StrangeMerges_30-7B-slerp",
"autotrain_compatible",
... | null | 2024-04-01T14:49:33+00:00 | [] | [] | TAGS
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- Model creator: automerger
- Original model: automerger/Strangemerges_32Strangemerges_30-7B
## Description
MaziyarPanahi/Strangemerges_32Strangemerges_30-7B-GGUF contains GGUF format model files for automerger/Strangemerges_32Strangemerges_30-7B.
## How to use... | [
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"## Description\nMaziyarPanahi/Strangemerges_32Strangemerges_30-7B-GGUF contains GGUF format model files for automerger/Strangemerges_32Strangemerges_30-7B.",
... | [
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null | transformers | ## About
static quants of https://huggingface.co/Doctor-Shotgun/ds-smol-brew-7b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Communi... | {"language": ["en"], "license": "agpl-3.0", "library_name": "transformers", "tags": ["llama", "llama-2", "not-for-all-audiences"], "base_model": "Doctor-Shotgun/ds-smol-brew-7b", "quantized_by": "mradermacher"} | mradermacher/ds-smol-brew-7b-GGUF | null | [
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"en",
"base_model:Doctor-Shotgun/ds-smol-brew-7b",
"license:agpl-3.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-01T14:49:46+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #llama #llama-2 #not-for-all-audiences #en #base_model-Doctor-Shotgun/ds-smol-brew-7b #license-agpl-3.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #llama #llama-2 #not-for-all-audiences #en #base_model-Doctor-Shotgun/ds-smol-brew-7b #license-agpl-3.0 #endpoints_compatible #region-us \n"
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] |
null | diffusers |
Finetuned a denosing model using an AutoCAD dataset for cleaning label and texts
| {"license": "apache-2.0"} | shahabctg/autocad_v3 | null | [
"diffusers",
"safetensors",
"license:apache-2.0",
"diffusers:StableDiffusionInstructPix2PixPipeline",
"region:us"
] | null | 2024-04-01T14:50:42+00:00 | [] | [] | TAGS
#diffusers #safetensors #license-apache-2.0 #diffusers-StableDiffusionInstructPix2PixPipeline #region-us
|
Finetuned a denosing model using an AutoCAD dataset for cleaning label and texts
| [] | [
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null | diffusers |
Finetuned Instructpix2pix using an AutoCAD dataset to clean labels and texts. | {"license": "apache-2.0"} | shahabctg/autocad_v3_v2 | null | [
"diffusers",
"safetensors",
"license:apache-2.0",
"diffusers:StableDiffusionInstructPix2PixPipeline",
"region:us"
] | null | 2024-04-01T14:51:54+00:00 | [] | [] | TAGS
#diffusers #safetensors #license-apache-2.0 #diffusers-StableDiffusionInstructPix2PixPipeline #region-us
|
Finetuned Instructpix2pix using an AutoCAD dataset to clean labels and texts. | [] | [
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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": []} | JFernandoGRE/mistral_7b_augmenteddemocracy_dups_all1_75 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-01T14:52:26+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null | Nice 1 Nisanlara!
Happy April Fool's!
 | {} | mertcobanov/ch4t9pt-turbo4 | null | [
"region:us"
] | null | 2024-04-01T14:53:05+00:00 | [] | [] | TAGS
#region-us
| Nice 1 Nisanlara!
Happy April Fool's!
![](https://s.URL/URL | [] | [
"TAGS\n#region-us \n"
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text-to-image | diffusers | # julie-andrews
<Gallery />
## Trigger words
You should use `julieandrews` to trigger the image generation.
You should use `flower hat` to trigger the image generation.
You should use `hair tied back` to trigger the image generation.
You should use `hair in bun` to trigger the image generation.
You should use `... | {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000j\u0000u\u0000l\u0000i\u0000e\u0000a\u0000n\u0000d\u0000r\u0000e\u0000w\u0000s\u0000-\u00000\u00007\u0000:\u00000\u0000.\u00005\u0000>\u0000,\u0000 \... | MarkBW/julie-andrews | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:runwayml/stable-diffusion-v1-5",
"region:us"
] | null | 2024-04-01T14:53:49+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #region-us
| # julie-andrews
<Gallery />
## Trigger words
You should use 'julieandrews' to trigger the image generation.
You should use 'flower hat' to trigger the image generation.
You should use 'hair tied back' to trigger the image generation.
You should use 'hair in bun' to trigger the image generation.
You should use '... | [
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text-generation | transformers |
<img src="https://cdn-uploads.huggingface.co/production/uploads/6389d3c61e8755d777902366/7dTpG4vJWkB4YwBJFCqoE.jpeg" style="border-radius:2%; width: 66%">
# MonarchPipe-7B-slerp
MonarchPipe-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwR... | {"license": "cc-by-nc-2.0", "tags": ["merge", "mergekit", "lazymergekit", "OpenPipe/mistral-ft-optimized-1227", "mlabonne/AlphaMonarch-7B"], "base_model": ["OpenPipe/mistral-ft-optimized-1227", "mlabonne/AlphaMonarch-7B"]} | ichigoberry/MonarchPipe-7B-slerp | null | [
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"mistral",
"text-generation",
"merge",
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"lazymergekit",
"OpenPipe/mistral-ft-optimized-1227",
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"base_model:OpenPipe/mistral-ft-optimized-1227",
"base_model:mlabonne/AlphaMonarch-7B",
"license:cc-by-nc-2.0",
"autotrain_compa... | null | 2024-04-01T14:55:31+00:00 | [] | [] | TAGS
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MonarchPipe-7B-slerp
====================
MonarchPipe-7B-slerp is a merge of the following models using LazyMergekit:
* OpenPipe/mistral-ft-optimized-1227
* mlabonne/AlphaMonarch-7B
Eval
----
### Nous
Eval results from the Nous benchmark suite (performed u... | [
"### Nous\n\n\nEval results from the Nous benchmark suite (performed using LLM AutoEval).\n\n\n\nConfiguration\n-------------\n\n\nUsage\n-----"
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | BurakYildizak/invoice2 | null | [
"transformers",
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# Model Card for Model ID
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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- bnb_4bit_quant_type: nf4
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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 for Quran Recognition
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/w... | {"language": ["ara"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["AsemBadr/GP"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small for Quran Recognition", "results": [{"task": {"type": "automatic-speech-recognition", "n... | uoseftalaat/whisper-base | null | [
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| Whisper Small for Quran Recognition
===================================
This model is a fine-tuned version of openai/whisper-small on the Quran\_Reciters dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0275
* Wer: 9.0597
Model description
-----------------
More information needed
I... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | dipanjanS/distilbert-finetuned-imdb-sentiment | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# 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": []} | trungdang2901/dmdcmm | null | [
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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. -->
# roberta-large-finetuned-ner-finetuned-ner
This model is a fine-tuned version of [romainlhardy/roberta-large-finetuned-ner](https... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["surrey-nlp/PLOD-filtered"], "base_model": "romainlhardy/roberta-large-finetuned-ner", "model-index": [{"name": "roberta-large-finetuned-ner-finetuned-ner", "results": []}]} | EngTig/roberta-large-finetuned-ner-finetuned-ner | null | [
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|
# roberta-large-finetuned-ner-finetuned-ner
This model is a fine-tuned version of romainlhardy/roberta-large-finetuned-ner on surrey-nlp/PLOD-filtered dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1264
- eval_precision: 0.9593
- eval_recall: 0.9473
- eval_f1: 0.9533
- eval_accurac... | [
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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. -->
# multi_bert
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dat... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "bert-base-uncased", "model-index": [{"name": "multi_bert", "results": []}]} | gilmark123/multi_bert | null | [
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|
# multi_bert
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5854
- Accuracy: 0.7675
- F1: 0.7683
- Confusion Matrix: [[1158, 323, 36], [280, 1407, 241], [45, 285, 1430]]
## Model description
More information needed
... | [
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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": []} | ankhamun/acolyte-2 | null | [
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# Model Card for Model ID
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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 |
# Uploaded model
- **Developed by:** allstax
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/mai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | allstax/gemma-2b-240s | null | [
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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. -->
# BitLlama2-jp-127M-optim-2
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves t... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "BitLlama2-jp-127M-optim-2", "results": []}]} | HachiML/BitLlama2-jp-127M-optim-2 | null | [
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| BitLlama2-jp-127M-optim-2
=========================
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.3899
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
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": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-CartPole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | lbaeriswyl/Reinforce-CartPole-v1 | null | [
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1711984652645x497687880161431500
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
in the style of TOK
```
Use this keyword to trigger your custom model in your pro... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["RickGrimes001/iluminate"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "in the style of TOK", "inference": false} | squaadinc/1711984652645x497687880161431500 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:RickGrimes001/iluminate",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-01T15:17:44+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-RickGrimes001/iluminate #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1711984652645x497687880161431500
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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text-generation | transformers |
# Zebrafish-slerp-7B
Zebrafish-slerp-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [liminerity/M7-7b](https://huggingface.co/liminerity/M7-7b)
* [rwitz/experiment26-truthy-iter-0](https://huggingface.co/rwitz/experi... | {"license": "cc-by-nc-4.0", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": ["liminerity/M7-7b", "rwitz/experiment26-truthy-iter-0"]} | mlabonne/Zebrafish-slerp-7B | null | [
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#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #base_model-liminerity/M7-7b #base_model-rwitz/experiment26-truthy-iter-0 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Zebrafish-slerp-7B
Zebrafish-slerp-7B is a merge of the following models using LazyMergekit:
* liminerity/M7-7b
* rwitz/experiment26-truthy-iter-0
## Configuration
## Usage
| [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# hfnlpmodels/eos_prediction_distilbert_1
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilb... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "hfnlpmodels/eos_prediction_distilbert_1", "results": []}]} | hfnlpmodels/eos_prediction_distilbert_1 | null | [
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#transformers #tf #distilbert #text-classification #generated_from_keras_callback #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| hfnlpmodels/eos\_prediction\_distilbert\_1
==========================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.0879
* Train Accuracy: 0.9714
* Validation Loss: 0.2180
* Validation Acc... | [
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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. -->
# clasificador-dair-emotion
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on... | {"license": "apache-2.0", "tags": ["classification", "generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "clasificador-dair-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"nam... | islasher/clasificador-dair-emotion | null | [
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| clasificador-dair-emotion
=========================
This model is a fine-tuned version of bert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2232
* Accuracy: 0.933
Model description
-----------------
More information needed
Intended uses & limitations
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | breadeater1496/AmogusBot | null | [
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - linoyts/huggy_lora_edm_v1_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_lora_edm_v1_pivotal LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: downlo... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "lora", "template:sd-lora", "edm-training"], "inference": {"parameters": {"scheduler": "EulerDiscreteScheduler"}}, "widget": [{"text": "a <s0><s1> emoji dressed as an easter bun... | linoyts/huggy_lora_edm_v1_pivotal | null | [
"diffusers",
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"stable-diffusion-xl-diffusers",
"diffusers-training",
"text-to-image",
"lora",
"template:sd-lora",
"edm-training",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-01T15:25:00+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #diffusers-training #text-to-image #lora #template-sd-lora #edm-training #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - linoyts/huggy_lora_edm_v1_pivotal
<Gallery />
## Model description
### These are linoyts/huggy_lora_edm_v1_pivotal LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
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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. -->
# Roberta-DialoGPT_EmpAI_Prueba
This model is a fine-tuned version of [microsoft/DialoGPT-medium](https://huggingface.co/microsoft... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/DialoGPT-medium", "model-index": [{"name": "Roberta-DialoGPT_EmpAI_Prueba", "results": []}]} | LuangMV97/Roberta-DialoGPT_EmpAI_Prueba | null | [
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"safetensors",
"gpt2",
"text-generation",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-01T15:26:55+00:00 | [] | [] | TAGS
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|
# Roberta-DialoGPT_EmpAI_Prueba
This model is a fine-tuned version of microsoft/DialoGPT-medium on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 4.5237
- eval_runtime: 348.0919
- eval_samples_per_second: 22.224
- eval_steps_per_second: 2.778
- epoch: 3.0
- step: 11601
##... | [
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text-to-image | diffusers | ### My-Pet-Dog Dreambooth model trained by Lonewolf2005 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
| {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | Lonewolf2005/my-pet-dog | null | [
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#diffusers #safetensors #NxtWave-GenAI-Webinar #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ### My-Pet-Dog Dreambooth model trained by Lonewolf2005 following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: GoX19932gAS
Sample pictures of this concept:
!0
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | deepnet/SN6-70M14 | null | [
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"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that... | [
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"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed o... |
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