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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": []} | wenzhuoliu/reranker-disambiguation | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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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": []} | Gopal2002/DONUT_FINETUNE_762 | null | [
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# Model Card for Model ID
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### Model Description
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null | transformers | ## About
<!-- ### convert_type: -->
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weighted/imatrix quants of https://huggingface.co/ibivibiv/athena-120b
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static quants are available at https://huggingface.co/mradermacher/athena-120b-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["merge"], "base_model": "ibivibiv/athena-120b", "quantized_by": "mradermacher"} | mradermacher/athena-120b-i1-GGUF | null | [
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weighted/imatrix quants of URL
static quants are available at URL
Usage
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If you are unsure how to use GGUF files, refer to one of TheBloke's
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
- Original model: [gemma-2b-it](https://huggingface.co/google/gemma-2b-it)
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that... | {"license": "gemma", "library_name": "transformers", "datasets": ["redmojo7/palo-alto-log"]} | redmojo7/gemma-2b-it-finetune-palo-alto-network | null | [
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# Model Card for Model ID
- Original model: gemma-2b-it
## Model Details
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilroberta-base-0404
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "distilroberta-base-0404", "results": []}]} | boyan0814/distilroberta-base-0404 | null | [
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| distilroberta-base-0404
=======================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3936
Model description
-----------------
More information needed
Intended uses & limitations
----------------------... | [
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null | null | Jim Corbett Safari Booking
A safari is a must to experience the rich biodiversity of Jim Corbett National Park. What you should know about booking a safari:
1. Understanding Safari Zones
• Jim Corbett National Park has multiple safari zones that offer different landscapes and wildlife.
• Safari zones include Dhikala ... | {} | thakursuvita/Jim-Corbett | null | [
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| Jim Corbett Safari Booking
A safari is a must to experience the rich biodiversity of Jim Corbett National Park. What you should know about booking a safari:
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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": []} | 0x0uncle0/Uncle32 | null | [
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## Model Details
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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. -->
# V0404MP6
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0404MP6", "results": []}]} | Litzy619/V0404MP6 | null | [
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| V0404MP6
========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
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* Loss: 2.1140
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0404MP1
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0404MP1", "results": []}]} | Litzy619/V0404MP1 | null | [
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| V0404MP1
========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
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* Loss: 2.1177
Model description
-----------------
More information needed
Intended uses & limitations
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More information needed
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/uukuguy-speechless-code-mistral-7b-v1.0-bnb-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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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. -->
# lolol
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unkn... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "lolol", "results": []}]} | andrea9339/lolol | null | [
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|
# lolol
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5160
- Accuracy: 0.88
- F1: 0.8816
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and ... | [
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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": []} | arnavj007/gemma-Justice-Instruct-Finetune | 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: Arnav Jain
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- Finetuned from model [optional]: go... | [
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text-to-image | diffusers | # monoprixdenim
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/idevst/monop2/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "-", "output": {"url": "images/monoprixdenim (31).png"}}], "base_model": "imagepipeline/LEOSAMs-HelloWorld-SDXL-v3"} | idevst/monop2 | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-imagepipeline/LEOSAMs-HelloWorld-SDXL-v3 #region-us
| # monoprixdenim
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/here_we_go_again1 | null | [
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"text-generation",
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"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
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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 | null | This is a fine-tuned model made for classifying text data for a client for HDAG
It is obviously specific to the dataset it was tuned to -- it should not be used for other datasets
---
license: mit
---
| {} | mkrasnow/hdag1_instruct | null | [
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#safetensors #region-us
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null | transformers.js |
The tokenizer for https://huggingface.co/CohereForAI/c4ai-command-r-v01, made compatible with Transformers.js.
If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@xenova/transformers) using:
```bash
np... | {"license": "cc-by-nc-4.0", "library_name": "transformers.js", "tags": ["cohere", "transformers", "tokenizers"]} | nsarrazin/c4ai-command-r-v01-tokenizer | null | [
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#transformers.js #cohere #transformers #tokenizers #license-cc-by-nc-4.0 #region-us
|
The tokenizer for URL made compatible with URL.
If you haven't already, you can install the URL JavaScript library from NPM using:
## Example usage:
### Tools
<details>
<summary><b>Example Rendered Tool Use Prompt [CLICK TO EXPAND]</b></summary>
python
def internet_search(query: str) -> List[Dict]:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_05 | null | [
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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image-classification | transformers |
# room-classifier-v1
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
Report any issues with the demo at the [github repo](https://github.com/nateraw/h... | {"tags": ["image-classification", "pytorch", "huggingpics"], "metrics": ["accuracy"]} | Tater86/room-classifier-v1 | null | [
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"vit",
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"pytorch",
"huggingpics",
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"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #vit #image-classification #pytorch #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us
|
# room-classifier-v1
Autogenerated by HuggingPics️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
## Example Images
#### aerial
!aerial
#### bathroom
!bathroom
#### bedroom
!bedroom
#### dining room
!dining room
###... | [
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image-classification | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| na... | {"library_name": "keras", "tags": ["Melanoma-Classification", "EfficientNetB0"], "pipeline_tag": "image-classification"} | SeyedAli/Melanoma-Classification-EfficientNetB0 | null | [
"keras",
"Melanoma-Classification",
"EfficientNetB0",
"image-classification",
"region:us"
] | null | 2024-04-04T12:50:48+00:00 | [] | [] | TAGS
#keras #Melanoma-Classification #EfficientNetB0 #image-classification #region-us
| Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information needed
Training procedure
------------------
### Training hyperparameters
The following h... | [
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] |
text-generation | transformers |
# Mixtral-6x7B-Instruct-v0.1 (bfloat16)
The Mixtral-6x7B-Instruct-v0.1 model is a derivative of the [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) model. It was created by selectively trimming the original model and retaining only the 0th, 2nd, 4th, 5th, 6th, and 7... | {"license": "apache-2.0"} | DrNicefellow/Mixtral-6x7B-Instruct-v0.1-bfloat16-Trimmed024567 | null | [
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"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T12:53:11+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Mixtral-6x7B-Instruct-v0.1 (bfloat16)
The Mixtral-6x7B-Instruct-v0.1 model is a derivative of the mistralai/Mixtral-8x7B-Instruct-v0.1 model. It was created by selectively trimming the original model and retaining only the 0th, 2nd, 4th, 5th, 6th, and 7th experts from each layer.
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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... | hookzeng/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-04T12:53:36+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-to-image | diffusers | # polaroid-vision
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/MarkBW/polaroid-vision/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "UNICODE\u0000\u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000b\u0000l\u0000u\u0000r\u0000r\u0000y\u0000,\u0000 \u0000b\u0000l\u0000u\u0000r\u0000r\u0000y\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\... | MarkBW/polaroid-vision | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #region-us
| # polaroid-vision
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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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": []} | hellie/information-retrieval | null | [
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null | peft | ## Training procedure
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null | null | GGUFs for Young Children Storyteller - Mistral 7B - https://huggingface.co/ajibawa-2023/Young-Children-Storyteller-Mistral-7B
iMatrix GGUFs generated with Kalomaze's semi-random groups_merged.txt | {"language": ["en"], "license": "apache-2.0", "tags": ["story", "young children", "educational", "knowledge"], "datasets": ["ajibawa-2023/Children-Stories-Collection"]} | MarsupialAI/Young-Children-Storyteller-Mistral-7B_iMatrix_GGUF | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | hellie/infret-tokenizer | null | [
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text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
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### Model Description
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/arlineka/CatNyanster-34b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/CatNyanster-34b-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one o... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["merge", "roleplay", "chat"], "base_model": "arlineka/CatNyanster-34b", "quantized_by": "mradermacher"} | mradermacher/CatNyanster-34b-GGUF | null | [
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static quants of URL
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If you are unsure how to use GGUF files, refer to one of TheBloke's
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Fine-tune_llama2_SQL-CONVERSION
This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/N... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "Fine-tune_llama2_SQL-CONVERSION", "results": []}]} | AmenBC/Fine-tune_llama2_SQL-CONVERSION | null | [
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# Fine-tune_llama2_SQL-CONVERSION
This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | peft | ## Training procedure
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text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-33 | null | [
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### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
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null | null |
Model copy without any changes from
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text-generation | transformers | # Nyakura-CausalLM-RP-34B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
GGUFs by mradermacher if you want 'em:
https://huggingface.co/mradermacher/Nyakura-CausalLM-RP-34B-i1-GGUF
## Merge Details
Just uploading one of my stew's merge pieces here for co... | {"license": "other", "tags": ["mergekit", "merge"], "license_name": "yi-34b", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE"} | ParasiticRogue/Nyakura-CausalLM-RP-34B | null | [
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| # Nyakura-CausalLM-RP-34B
This is a merge of pre-trained language models created using mergekit.
GGUFs by mradermacher if you want 'em:
URL
## Merge Details
Just uploading one of my stew's merge pieces here for convenience. If you want to use it you can. ChatML should work good for the format.
### Merge Method
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text-generation | transformers |
# Uploaded model
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text-classification | transformers |
# Model Card for Model ID
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null | transformers |
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | comet24082002/finetuned_bkai_biencoder_1epoch | null | [
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text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-34 | null | [
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null | transformers |
For more information, please visit our GitHub repository using this link \
https://github.com/ngzh-luke/muict-498prj-ictchat
To try inference using our model, please use our Google Colab notebook available here \
https://colab.research.google.com/drive/1YBzJvVwAk2Vc8Bc0c7xnMzURW3t3946p?usp=sharing
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For more information, please visit our GitHub repository using this link \
URL
To try inference using our model, please use our Google Colab notebook available here \
URL
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text-generation | transformers |
# 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 generate... | {"library_name": "transformers", "tags": []} | horyekhunley/stack_qna_instruct_ft | null | [
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text-generation | transformers |
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|
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | [
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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": []} | horyekhunley/zetGPT-ft | 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. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers | ARC-MK2 | {} | askzenri/mkmk | null | [
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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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### 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": []} | Edgar404/donut-sroie-lora-r8_exp | null | [
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text-classification | transformers |
# Multilingual classification model to detect texts from the political science domain
Accuracy: 0.978
Predicts 2 classes:
| class | description | precision | recall | f1-score | support |
|----------|--------------------------|-----------|--------|----------|---------|
| politics |political science ... | {"language": ["en", "fr", "de"], "pipeline_tag": "text-classification"} | kalawinka/bert-base-ml-politics | null | [
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| Multilingual classification model to detect texts from the political science domain
===================================================================================
Accuracy: 0.978
Predicts 2 classes:
Evaluation by class and language:
Based on BERT multilingual base model (uncased)
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null | null | cs450DashApp
For this project, the Covid-19 Dashboard is deployed with Indian states and their respective Covid parameters. Pie charts and line charts are displayed accurately in this visual. | {"license": "apache-2.0"} | dabbu2000/cs450DashApp | null | [
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text-generation | transformers | # Megakiqu-120b
<img src="./megakiqu.jpg" alt="megakiqu-120B" width="390"/>
MegaDolphin-120B나 Venus-120B과 유사하게 passthrough method로 확장된 모델.
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 pass... | {"language": ["ko"], "license": "cc-by-sa-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["maywell/kiqu-70b"]} | kuotient/Megakiqu-120b | null | [
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| # Megakiqu-120b
<img src="./URL" alt="megakiqu-120B" width="390"/>
MegaDolphin-120B나 Venus-120B과 유사하게 passthrough method로 확장된 모델.
This is a merge of pre-trained language models created using mergekit.
## Merge Details
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | SwimChoi/villama2-7b-chat-Ireland-lora | 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_french
This model is a fine-tuned version of [google-bert/bert-base-multilingual-uncased](https://huggingface.co/google-ber... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google-bert/bert-base-multilingual-uncased", "model-index": [{"name": "bert_french", "results": []}]} | Dauren-Nur/bert_french | null | [
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| bert\_french
============
This model is a fine-tuned version of google-bert/bert-base-multilingual-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2225
* Accuracy: 0.9090
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-36 | null | [
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|
### Model Description
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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": "meta-llama/Llama-2-7b-chat-hf"} | SwimChoi/villama2-7b-chat-Italy-lora | null | [
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# Model Card for Model ID
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep02 | 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]
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- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | SwimChoi/villama2-7b-chat-Kosovo-lora | null | [
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null | null |
# Model Card for VAR (Visual AutoRegressive) Transformers 🔥
<!-- Provide a quick summary of what the model is/does. -->
[](https://arxiv.org/abs/2404.02905)[![demo platform](https://img.shields.io/badge/Play%20with%20VAR%21-VAR%20demo%20pla... | {"language": ["en", "zh"], "license": "mit", "datasets": ["imagenet-1k"]} | FoundationVision/var | null | [
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# Model Card for VAR (Visual AutoRegressive) Transformers
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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": "meta-llama/Llama-2-7b-chat-hf"} | SwimChoi/villama2-7b-chat-Lithuania-lora | null | [
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# Model Card for Model ID
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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": "meta-llama/Llama-2-7b-chat-hf"} | SwimChoi/villama2-7b-chat-Netherlands-lora | null | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut-base-sroie-bayesian-optimization
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["bleu", "wer"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie-bayesian-optimization", "results": []}]} | davelotito/donut-base-sroie-bayesian-optimization | null | [
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| donut-base-sroie-bayesian-optimization
======================================
This model is a fine-tuned version of naver-clova-ix/donut-base on the None dataset.
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* Bleu: 0.0196
* Precisions: [0.9883177570093458, 0.9724655819774718, 0.954177897... | [
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sentence-similarity | sentence-transformers |
# luiz-and-robert-thesis/all-mpnet-base-v2-firefox-margin-1-epoch-1
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 (Senten... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | luiz-and-robert-thesis/all-mpnet-base-v2-firefox-margin-1-epoch-1 | null | [
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|
# luiz-and-robert-thesis/all-mpnet-base-v2-firefox-margin-1-epoch-1
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## Usage (Sentence-Transformers)
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text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-37 | null | [
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### Model Description
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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sentence-similarity | transformers |
# LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
> LLM2Vec is a simple recipe to convert decoder-only LLMs into text encoders. It consists of 3 simple steps: 1) enabling bidirectional attention, 2) masked next token prediction, and 3) unsupervised contrastive learning. The model can be further fin... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["text-embedding", "embeddings", "information-retrieval", "beir", "text-classification", "language-model", "text-clustering", "text-semantic-similarity", "text-evaluation", "text-reranking", "feature-extraction", "sentence-similarity", "Sent... | McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Yasusan/test_l2 | null | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-finetuned-vehidefe
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "t5-small-finetuned-vehidefe", "results": []}]} | ItsMayur/t5-small-finetuned-vehidefe | null | [
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| t5-small-finetuned-vehidefe
===========================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2321
* Rouge1: 0.5062
* Rouge2: 0.129
* Rougel: 0.4421
* Rougelsum: 0.4549
* Gen Len: 0.6333
Model description
----------... | [
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text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-39 | null | [
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### 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": []} | kosiasuzu/llama2-7b-alpaca-finetune | null | [
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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. -->
# prototype_joint_trained
This model is a fine-tuned version of [Serega6678/My_script_50pct_LLM_pretraining](https://huggingface.c... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "prototype_joint_trained", "results": []}]} | Serega6678/prototype_joint_trained | null | [
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| prototype\_joint\_trained
=========================
This model is a fine-tuned version of Serega6678/My\_script\_50pct\_LLM\_pretraining on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0049
Model description
-----------------
More information need... | [
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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. -->
# SDXL LoRA DreamBooth - FelipeMahlow/17122282367026668
<Gallery />
## Model description
These are FelipeMahlow/1712228... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of @fmahlow man"... | FelipeMahlow/17122282367026668 | null | [
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|
# SDXL LoRA DreamBooth - FelipeMahlow/17122282367026668
<Gallery />
## Model description
These are FelipeMahlow/17122282367026668 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
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text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-40 | null | [
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|
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-multilingual-cased-ner-hrl
This model was finetuned on conll2003 dataset.
It achieves the following results on the eva... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "bert-base-multilingual-cased-ner-hrl", "results": []}]} | Zakariabou/bert-base-multilingual-cased-ner-hrl | null | [
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| bert-base-multilingual-cased-ner-hrl
====================================
This model was finetuned on conll2003 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0799
* Precision: 0.9432
* Recall: 0.9549
* F1: 0.9490
* Accuracy: 0.9870
Model description
-----------------
More informati... | [
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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. -->
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# cvt-w24-384-22k-finetuned-LeafType-v1
This model is a fine-tuned version of [microsoft/cvt-w24-384-22k](https://huggingface.co/m... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/cvt-w24-384-22k", "model-index": [{"name": "cvt-w24-384-22k-finetuned-LeafType-v1", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset... | b07611031/cvt-w24-384-22k-finetuned-LeafType-v1 | null | [
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|
# cvt-w24-384-22k-finetuned-LeafType-v1
This model is a fine-tuned version of microsoft/cvt-w24-384-22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5823
- Accuracy: 0.8867
## Model description
More information needed
## Intended uses & limitations
More informat... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr_v2
This model is a fine-tuned version of [TheBloke/zephyr-7B-beta-GPTQ](https://huggingface.co/TheBloke/zephyr-7B-beta-GP... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TheBloke/zephyr-7B-beta-GPTQ", "model-index": [{"name": "zephyr_v2", "results": []}]} | Prasanth99/zephyr_v2 | null | [
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|
# zephyr_v2
This model is a fine-tuned version of TheBloke/zephyr-7B-beta-GPTQ on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-41 | null | [
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|
### Model Description
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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": "meta-llama/Llama-2-7b-hf"} | cgihlstorf/llama27b-finetuned_32_1_0.0003_random_alternate_no_output | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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|
# Model Card for Model ID
## Model Details
### Model Description
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### Model Sources [optional]
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sentence-similarity | peft |
# LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
> LLM2Vec is a simple recipe to convert decoder-only LLMs into text encoders. It consists of 3 simple steps: 1) enabling bidirectional attention, 2) masked next token prediction, and 3) unsupervised contrastive learning. The model can be further fin... | {"language": ["en"], "license": "mit", "library_name": "peft", "tags": ["text-embedding", "embeddings", "information-retrieval", "beir", "text-classification", "language-model", "text-clustering", "text-semantic-similarity", "text-evaluation", "text-reranking", "feature-extraction", "sentence-similarity", "Sentence Sim... | McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse | null | [
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# LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
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sentence-similarity | peft |
# LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
> LLM2Vec is a simple recipe to convert decoder-only LLMs into text encoders. It consists of 3 simple steps: 1) enabling bidirectional attention, 2) masked next token prediction, and 3) unsupervised contrastive learning. The model can be further fin... | {"language": ["en"], "license": "mit", "library_name": "peft", "tags": ["text-embedding", "embeddings", "information-retrieval", "beir", "text-classification", "language-model", "text-clustering", "text-semantic-similarity", "text-evaluation", "text-reranking", "feature-extraction", "sentence-similarity", "Sentence Sim... | McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-supervised | null | [
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# LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
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text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-42 | null | [
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|
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
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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. -->
# finetuned-indian-food
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vi... | {"license": "apache-2.0", "tags": ["Designing_Image_Classification", "generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "finetuned-indian-food", "results": []}]} | pacojimon/food_desisng | null | [
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| finetuned-indian-food
=====================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the food\_images dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2373
* Accuracy: 0.9394
* Precision: 0.9406
* Recall: 0.9410
* F1: 0.9401
Model description
----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 16\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: 4\n* mixed\\_prec... | [
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object-detection | 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": []} | Mariofm02/detr-finetuned-blackjack-smallerdata-v2 | 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 | null |
4-bit [OmniQuant](https://arxiv.org/abs/2308.13137) quantized version of [Yi-6B-Chat](https://huggingface.co/01-ai/Yi-6B-Chat).
| {"license": "other", "license_name": "yi-license", "license_link": "LICENSE"} | numen-tech/Yi-6B-Chat-w4a16g128asym | null | [
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|
4-bit OmniQuant quantized version of Yi-6B-Chat.
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text-classification | transformers |
## Marathi-Short-Doc-Topic-BERT-Pruned
Marathi-Doc-Topic-BERT model is an l3cube-pune/marathi-topic-all-doc-v2 model pruned and distilled on Marathi documents from the L3Cube-IndicNews Corpus [dataset link]https://github.com/l3cube-pune/indic-nlp. <br>
This dataset consists of sub-datasets like LDC (Long Document Clas... | {"language": ["mr"], "license": "cc-by-4.0", "tags": ["bert"], "datasets": ["L3Cube-IndicNews"], "widget": [{"text": "IND vs IRE : \u0906\u092f\u0930\u094d\u0932\u0902\u0921\u091a\u094d\u092f\u093e \u0926\u094c\u0931\u094d\u092f\u093e\u0938\u093e\u0920\u0940 \u0915\u0938\u093e \u0906\u0939\u0947 \u092d\u093e\u0930\u092... | l3cube-pune/marathi-short-topic-bert-pruned-distill | null | [
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## Marathi-Short-Doc-Topic-BERT-Pruned
Marathi-Doc-Topic-BERT model is an l3cube-pune/marathi-topic-all-doc-v2 model pruned and distilled on Marathi documents from the L3Cube-IndicNews Corpus [dataset link]URL <br>
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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": []} | rPucs/gemma2b-it-tripletdolly-0.1 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-43 | null | [
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### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="JKUJhonny/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | JKUJhonny/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-04T14:26:56+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
| [
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] |
text-generation | transformers |
# 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_epo4 | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T14:27:38+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
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"TAGS\n#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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"## Model Details",
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text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-44 | null | [
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"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:u... | null | 2024-04-04T14:29:13+00:00 | [
"2404.04850"
] | [
"multilingual"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | [
"### Model Description\n\nThis HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages. \nWe progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repos... | [
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text-generation | transformers | <img src="Faraday Model Repository Banner.png" alt="Faraday.dev" style="height: 90px; min-width: 32px; display: block; margin: auto;">
**<p style="text-align: center;">The official library of GGUF format models for use in the local AI chat app, Faraday.dev.</p>**
<p style="text-align: center;"><a href="https://farada... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["esper", "dev-ops", "developer", "code", "code-instruct", "valiant", "valiant-labs", "code-llama", "llama", "llama-2", "llama-2-chat", "70b"], "base_model": "ValiantLabs/Esper-70b", "pipeline_tag": "text-generation", "quantized_by": ... | FaradayDotDev/Esper-70B-GGUF | null | [
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"dev-ops",
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"llama-2",
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"70b",
"text-generation",
"en",
"base_model:ValiantLabs/Esper-70b",
"license:apache-2.0",
"endpoints_compatible",
"regi... | null | 2024-04-04T14:29:59+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #esper #dev-ops #developer #code #code-instruct #valiant #valiant-labs #code-llama #llama #llama-2 #llama-2-chat #70b #text-generation #en #base_model-ValiantLabs/Esper-70b #license-apache-2.0 #endpoints_compatible #region-us
| <img src="Faraday Model Repository URL" alt="URL" style="height: 90px; min-width: 32px; display: block; margin: auto;">
<p style="text-align: center;">The official library of GGUF format models for use in the local AI chat app, URL.</p>
<p style="text-align: center;"><a href="URL Faraday here to get started.</a></p>
... | [
"# Esper 70b\n- Creator: ValiantLabs\n- Original: Esper 70b\n- Date Created: 2024-03-12\n- Trained Context: 4096 tokens\n- Description: Esper 70b is a CodeLlama-based assistant with a DevOps focus, specializing in scripted language code, Terraform files, Dockerfiles, YAML, and more. Not recommended for roleplay.",
... | [
"TAGS\n#transformers #gguf #esper #dev-ops #developer #code #code-instruct #valiant #valiant-labs #code-llama #llama #llama-2 #llama-2-chat #70b #text-generation #en #base_model-ValiantLabs/Esper-70b #license-apache-2.0 #endpoints_compatible #region-us \n",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth", "trl", "sft"]} | wingo-dz/gemma-v1 | null | [
"transformers",
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"text-generation",
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"sft",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T14:31:49+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #pytorch #gemma #text-generation #unsloth #trl #sft #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)... | [
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"## Model Details",
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