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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. -->
# animal_guessing
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf... | {"license": "other", "library_name": "peft", "tags": ["llama-factory", "lora", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "animal_guessing", "results": []}]} | thunha/llama2-7b-hf-train | null | [
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#peft #safetensors #llama-factory #lora #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #license-other #region-us
|
# animal_guessing
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the animal_train 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-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": []} | peace4ever/roberta-large-finetuned-mongolian_v2 | null | [
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# Model Card for Model ID
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text-generation | 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": ["unsloth"]} | Srimouli04/gemma-7b-finetuned-m16bit | null | [
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# Model Card for Model ID
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text-generation | transformers | # Alsebay/Kilo-2x8B AWQ
- Model creator: [Alsebay](https://huggingface.co/Alsebay)
- Original model: [Kilo-2x8B](https://huggingface.co/Alsebay/Kilo-2x8B)
## Model Summary
MoE model of 2 Llama-3 models:
- vicgalle/Roleplay-Llama-3-8B
- Sao10K/L3-Solana-8B-v1
## How to use
### Install the necessary packages
``... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "Roleplay", "roleplay", "moe", "merge"], "base_model": ["vicgalle/Roleplay-Llama-3-8B", "Sao10K/L3-Solana-8B-v1"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Supariou... | solidrust/Kilo-2x8B-AWQ | null | [
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| # Alsebay/Kilo-2x8B AWQ
- Model creator: Alsebay
- Original model: Kilo-2x8B
## Model Summary
MoE model of 2 Llama-3 models:
- vicgalle/Roleplay-Llama-3-8B
- Sao10K/L3-Solana-8B-v1
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
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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. -->
# llama3-8b-summary
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "llama3-8b-summary", "results": []}]} | Yaxin1992/llama3-8b-summary | null | [
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|
# llama3-8b-summary
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct 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 ... | [
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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... | atakepanda/ppo-LunarLander-v2 | null | [
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#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-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": []} | goperigon/nli-MiniLM2-L6-H768_iptc | null | [
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image-feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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"]} | Srimouli04/gemma-7b-finetuned-Amb-m16bit | null | [
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text-generation | mlx |
# mlx-community/Phi-3-mini-4k-instruct-4bit-no-q-embed
This model was converted to MLX format from [`microsoft/Phi-3-mini-4k-instruct`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) for more details on the model.
## Use with mlx
```bash
... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code", "mlx"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation", "widget": [{"messages": [{"role": "user", "content": "Can you provide ways to eat combinations of bananas and dragonfr... | mlx-community/Phi-3-mini-4k-instruct-4bit-no-q-embed | null | [
"mlx",
"safetensors",
"phi3",
"nlp",
"code",
"text-generation",
"conversational",
"custom_code",
"en",
"license:mit",
"region:us"
] | null | 2024-04-23T16:16:45+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #phi3 #nlp #code #text-generation #conversational #custom_code #en #license-mit #region-us
|
# mlx-community/Phi-3-mini-4k-instruct-4bit-no-q-embed
This model was converted to MLX format from ['microsoft/Phi-3-mini-4k-instruct']() using mlx-lm version 0.12.0.
Refer to the original model card for more details on the model.
## Use with mlx
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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. -->
# twitter-roberta-base-sentiment-latest-biden-stance-1
This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sent... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "base_model": "cardiffnlp/twitter-roberta-base-sentiment-latest", "model-index": [{"name": "twitter-roberta-base-sentiment-latest-biden-stance-1", "results": []}]} | saideep-arikontham/twitter-roberta-base-sentiment-latest-biden-stance-1 | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-cardiffnlp/twitter-roberta-base-sentiment-latest #has_space #region-us
| twitter-roberta-base-sentiment-latest-biden-stance-1
====================================================
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4037
* Accuracy: {'accuracy': 0.5... | [
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image-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": []} | conjunct/rps_vit | null | [
"transformers",
"safetensors",
"vit",
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #vit #image-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# roberta-base-cf-difficulty-clf
This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookA... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/roberta-large", "model-index": [{"name": "roberta-base-cf-difficulty-clf", "results": []}]} | eyeonyou/roberta-base-cf-difficulty-clf | null | [
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"generated_from_trainer",
"base_model:FacebookAI/roberta-large",
"license:mit",
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#transformers #tensorboard #safetensors #roberta #generated_from_trainer #base_model-FacebookAI/roberta-large #license-mit #endpoints_compatible #region-us
| roberta-base-cf-difficulty-clf
==============================
This model is a fine-tuned version of FacebookAI/roberta-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0085
Model description
-----------------
More information needed
Intended uses & limitations
--... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_prec... | [
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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": []} | CroissantCrusader/FrenchBaguette | null | [
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"safetensors",
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"text-generation",
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"arxiv:1910.09700",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_model_classification
This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "albert-base-v2", "model-index": [{"name": "my_awesome_model_classification", "results": []}]} | mkim-MASI/my_awesome_model_classification | null | [
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#transformers #tensorboard #safetensors #albert #text-classification #generated_from_trainer #base_model-albert-base-v2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| my\_awesome\_model\_classification
==================================
This model is a fine-tuned version of albert-base-v2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2214
* Accuracy: 0.9435
Model description
-----------------
More information needed
Intended uses... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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null | null | The GGUF files of [RDson/Dolphin-less-Llama-3-Instruct-8B](https://huggingface.co/RDson/Dolphin-less-Llama-3-Instruct-8B).
Use the ChatML prompt template
```
<|im_start|>system
You are Dolphin, a helpful AI assistant.<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
```
Or as Ollama Modelfile
```
FR... | {"license": "other", "tags": ["llama-3", "dolphin", "gguf"], "license_name": "llama-3", "license_link": "https://llama.meta.com/llama3/license/"} | RDson/Dolphin-less-Llama-3-Instruct-8B-GGUF | null | [
"gguf",
"llama-3",
"dolphin",
"license:other",
"region:us"
] | null | 2024-04-23T16:23:22+00:00 | [] | [] | TAGS
#gguf #llama-3 #dolphin #license-other #region-us
| The GGUF files of RDson/Dolphin-less-Llama-3-Instruct-8B.
Use the ChatML prompt template
Or as Ollama Modelfile
Whichever works for you... | [] | [
"TAGS\n#gguf #llama-3 #dolphin #license-other #region-us \n"
] | [
20
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-finetuned-squadv2
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-finetuned-squadv2", "results": []}]} | DangNhaNguyen/distilbert-finetuned-squadv2 | null | [
"transformers",
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"question-answering",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #distilbert #question-answering #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
|
# distilbert-finetuned-squadv2
This model is a fine-tuned version of distilbert-base-uncased 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... | [
"# distilbert-finetuned-squadv2\n\nThis model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.",
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"## Training and evaluation data\n\nMore information needed",
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null | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mo... | {} | Phenrique2011/sofa | null | [
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"region:us"
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# Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
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- Language(s) (NLP):
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null | transformers |
# Uploaded model
- **Developed by:** saint324
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | saint324/lora_model_alpaca_llama3_8b | null | [
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|
# Uploaded model
- Developed by: saint324
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# test-rps
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch1... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "test-rps", "results": []}]} | conjunct/test-rps | null | [
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|
# test-rps
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:
- eval_loss: 0.0067
- eval_accuracy: 1.0
- eval_runtime: 7.6656
- eval_samples_per_second: 59.878
- eval_steps_per_second: 15.002
- epoch: 3.0
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text-generation | null |
## Exllama v2 Quantizations of Einstein-v6.1-Llama3-8B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch... | {"language": ["en"], "license": "other", "tags": ["axolotl", "generated_from_trainer", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "science", "physics", "chemistry", "biology", "math", "llama", "llama3"], "datasets": ["allenai/ai2_arc", "camel-ai/physics", "camel-ai/chemistry", "camel-ai/biology", "came... | bartowski/Einstein-v6.1-Llama3-8B-exl2 | null | [
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---------------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.19 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
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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. -->
# layoutlmv3-finetuned-invoice
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/layoutlmv3-base", "model-index": [{"name": "layoutlmv3-finetuned-invoice", "results": []}]} | Sunilkt/layoutlmv3-finetuned-invoice | null | [
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| layoutlmv3-finetuned-invoice
============================
This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2568
* Precision: 0.7955
* Recall: 0.6931
* F1: 0.7407
* Accuracy: 0.9524
Model description
----------... | [
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null | transformers |
# Uploaded model
- **Developed by:** saint324
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | saint324/alpaca_llama3_8b_unslothed | null | [
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|
# Uploaded model
- Developed by: saint324
- License: apache-2.0
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Aleatoric_tiny_0.2_Seed104 | 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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Aleatoric_tiny_0.2_Seed104 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | nem012/gemma2b-r8 | null | [
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# Model Card for Model ID
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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. -->
# v2-WtP-FT-6L-256BS-UD
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluati... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1"], "model-index": [{"name": "v2-WtP-FT-6L-256BS-UD", "results": []}]} | igorsterner/v2-WtP-FT-6L-256BS-UD | null | [
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| v2-WtP-FT-6L-256BS-UD
=====================
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2493
* Precision: 0.4540
* Recall: 0.715
* F1: 0.5553
* Threshold: 0.054
Model description
-----------------
More information needed
Intended ... | [
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text-generation | null |
# Phi-3-mini-4k-instructGGUF
- This is quantized version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) created using llama.cpp
- Quants were created using fp16.gguf from [microsoft/Phi-3-mini-4k-instruct-gguf](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct-ggu... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation"} | QuantFactory/Phi-3-mini-4k-instruct-GGUF | null | [
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"en"
] | TAGS
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| Phi-3-mini-4k-instructGGUF
==========================
* This is quantized version of microsoft/Phi-3-mini-4k-instruct created using URL
* Quants were created using URL from microsoft/Phi-3-mini-4k-instruct-gguf
Model Description
-----------------
The Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state... | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
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 huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | mrbesher/a2c-PandaReachDense-v3 | null | [
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#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Aleatoric_tiny_0.2_Seed105 | null | [
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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### Direct Use
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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. -->
# gemma-2b-sinhala-translation-chatml-v2
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gem... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemma-2b-sinhala-translation-chatml-v2", "results": []}]} | Ransaka/gemma-2b-sinhala-translation-chatml-v2 | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-google/gemma-2b #license-gemma #region-us
|
# gemma-2b-sinhala-translation-chatml-v2
This model is a fine-tuned version of google/gemma-2b on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Train... | [
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question-answering | transformers |
# Phi-3-mini-128k-instruct-Chinese
modelscope下载: https://modelscope.cn/models/baicai003/Phi-3-mini-128k-instruct-Chinese/summary | {"language": ["zh"], "license": "mit", "library_name": "transformers", "tags": ["code", "art", "music"], "datasets": ["shareAI/ShareGPT-Chinese-English-90k"], "pipeline_tag": "question-answering"} | shareAI/Phi-3-mini-128k-instruct-Chinese | 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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Aleatoric_tiny_0.2_Seed105 | null | [
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
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text-generation | transformers | We are training models efficiently not racing to be the biggest, but big things come in optimizing small packages.
Cutting these layers out do not change the output for my model at all individually, but cutting all of these redundant layers at once breaks the model completely.
So strategically balance extractions and ... | {"license": "cc-by-4.0"} | TroyDoesAI/Mermaid-Llama-3-6B-Pruned | null | [
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| We are training models efficiently not racing to be the biggest, but big things come in optimizing small packages.
Cutting these layers out do not change the output for my model at all individually, but cutting all of these redundant layers at once breaks the model completely.
So strategically balance extractions and ... | [
"# Mermaid-Llama-3-6B\n\nIntroducing Mermaid-LLama-3-6B, a robust language model designed for Python code understanding and crafting captivating story flow maps. \nPruned down to 6 billion parameter to show we dont need the bloat.\n\nSee MergeKit Notes And Try Triming my model yourself and explore my world of trimm... | [
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null | null |
llama.cpp importance matrices for various language models. Trained on Wikitext-103 training data unless noted otherwise with the suffix indicating the number of input tokens. | {"license": "apache-2.0"} | JohannesGaessler/llama.cpp_importance_matrices | 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. -->
# bert-lg-cased-ms-ner-v2-full
This model is a fine-tuned version of [nxaliao/bert-lg-cased-ms-ner-full](https://huggingface.co/nx... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "nxaliao/bert-lg-cased-ms-ner-full", "model-index": [{"name": "bert-lg-cased-ms-ner-v2-full", "results": []}]} | nxaliao/bert-lg-cased-ms-ner-v2-full | null | [
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|
# bert-lg-cased-ms-ner-v2-full
This model is a fine-tuned version of nxaliao/bert-lg-cased-ms-ner-full 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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text-generation | transformers |
# ToppyCox-7B
ToppyCox-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Undi95/Toppy-M-7B](https://huggingface.co/Undi95/Toppy-M-7B)
* [N8Programs/Coxcomb](https://huggingface.co/N8Programs/Coxcomb)
## 🧩 Configurati... | {"tags": ["merge", "mergekit", "lazymergekit", "Undi95/Toppy-M-7B", "N8Programs/Coxcomb"], "base_model": ["Undi95/Toppy-M-7B", "N8Programs/Coxcomb"]} | OmnicromsBrain/ToppyCox-7B | null | [
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|
# ToppyCox-7B
ToppyCox-7B is a merge of the following models using LazyMergekit:
* Undi95/Toppy-M-7B
* N8Programs/Coxcomb
## Configuration
## Usage
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text-generation | transformers |
## Model Card for Model ID
French-Alpaca based on microsoft/Phi-3-mini-128k-instruct
128k is the context length (in tokens)
### Model Description
fine-tuned from the original French-Alpaca-dataset entir... | {"language": ["fr", "en"], "license": "mit", "library_name": "transformers", "tags": ["Phi-3", "french", "Phi-3-mini"], "datasets": ["jpacifico/French-Alpaca-dataset-Instruct-110K"]} | jpacifico/French-Alpaca-Phi-3-mini-128k-instruct-v1.0 | null | [
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|
## Model Card for Model ID
French-Alpaca based on microsoft/Phi-3-mini-128k-instruct
128k is the context length (in tokens)
!image/jpeg
### Model Description
fine-tuned from the original French-Alpaca-dataset entirely generated with OpenAI GPT-3.5-turbo.
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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": []} | rafaeloc15/Beyondrisk-Llama3-8B-FT | 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 |
# Uploaded model
- **Developed by:** Haxirus
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct"} | Haxirus/LLaMA_3_8B_Fine-tuned_Adapters | null | [
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# Uploaded model
- Developed by: Haxirus
- License: apache-2.0
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
<!-- 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. -->
# stablelm-2-1_6b-spin-dpo-0-full
This model was trained from scratch on an unknown dataset.
## Model description
More informati... | {"tags": ["trl", "dpo", "generated_from_trainer"], "model-index": [{"name": "stablelm-2-1_6b-spin-dpo-0-full", "results": []}]} | nnheui/stablelm-2-1_6b-spin-dpo-0-full | null | [
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|
# stablelm-2-1_6b-spin-dpo-0-full
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fol... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Haxirus
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-Instruct"} | Haxirus/LLaMA_3_8B_Fine-tuned | null | [
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|
# Uploaded model
- Developed by: Haxirus
- License: apache-2.0
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<img src="URL width="200"/>
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-llamalfg6 | 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]:
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text-generation | mlx |
# Meta-Llama-3-8B-Q4
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-8B`]().
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-8B) for more details on the model.
## Use with mlx
```bash
pip install mlx
git clone https://github.com/ml-explore/mlx-examples.git
cd mlx... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | spiharsh/Meta-Llama-3-8B-Q4 | null | [
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|
# Meta-Llama-3-8B-Q4
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-8B']().
Refer to the original model card for more details on the model.
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | SparkleDark/SoccerToooos | null | [
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|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
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- A *short tutorial* ... | [
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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 mozilla-foundation/common_voice_11_0 - Huang Jordan
This model is a fine-tuned version of [openai/whisper-small](h... | {"language": ["zh"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper small mozilla-foundation/common_voice_11_0 - Huang Jordan", "results": []}]} | HuangJordan/whisper-small-chinese-cer | null | [
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| Whisper small mozilla-foundation/common\_voice\_11\_0 - Huang Jordan
====================================================================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1896
* Cer: 9.5317... | [
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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. -->
# Meta-Llama-3-8B-Instruct_fictional_German_v1
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https:/... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_German_v1", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_German_v1 | null | [
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|
# Meta-Llama-3-8B-Instruct_fictional_German_v1
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
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. -->
# tmp_trainer
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "tmp_trainer", "results": []}]} | Benjaminwfriedman/tmp_trainer | null | [
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|
# tmp_trainer
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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text-generation | transformers | Don't use this. Gradients exploded | {} | CMU-AIR2/math-deepseek-FULL-ArithHard-100k | null | [
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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 - Scn64/KQ
<Gallery />
## Model description
These are Scn64/KQ LoRA adaption weights for stabili... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "an illustration of KQ", ... | Scn64/KQ | null | [
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|
# SDXL LoRA DreamBooth - Scn64/KQ
<Gallery />
## Model description
These are Scn64/KQ LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
## ... | [
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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": []} | kings-crown/IsarLlama-2-13b | 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. -->
# framing_classification_longformer_30_augmented
This model is a fine-tuned version of [allenai/longformer-base-4096](https://hugg... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "allenai/longformer-base-4096", "model-index": [{"name": "framing_classification_longformer_30_augmented", "results": []}]} | AriyanH22/framing_classification_longformer_30_augmented | null | [
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| framing\_classification\_longformer\_30\_augmented
==================================================
This model is a fine-tuned version of allenai/longformer-base-4096 on an unknown dataset.
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* Loss: 0.6496
* Accuracy: 0.8751
* F1: 0.9011
* Precision: 0.8225
... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** sudhir2016
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-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/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | sudhir2016/llama-3-8b-Instruct-lora-test | null | [
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# Uploaded model
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<img src="URL width="200"/>
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | nem012/gemma2b-r2 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- 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": []} | nem012/gemma2b-r4 | 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. -->
# Meta-Llama-3-8B-Instruct_esnli_5000_lr2e-6_1ep
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_esnli_5000_lr2e-6_1ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_lr2e-6_1ep | null | [
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|
# Meta-Llama-3-8B-Instruct_esnli_5000_lr2e-6_1ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
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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": []} | onionqqq/gemma-1.1-Code-Instruct-Finetune-test-2 | 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 | # llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0
This repository provides large language models developed by [LLM-jp](https://llm-jp.nii.ac.jp/), a collaborative project launched in Japan.
| Model Variant |
| :--- |
|**Instruction models**|
| [llm-jp-13b-instruct-full-dolly-ichik... | {"language": ["en", "ja"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["databricks/databricks-dolly-15k", "llm-jp/databricks-dolly-15k-ja", "llm-jp/oasst1-21k-en", "llm-jp/oasst1-21k-ja", "llm-jp/oasst2-33k-en", "llm-jp/oasst2-33k-ja"], "programming_language": ["C", "C++", "C#", "Go", "Java", ... | llm-jp/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0 | null | [
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========================================================================================
This repository provides large language models developed by LLM-jp, a collaborative project launched in Japan.
Checkpoints format: Huggi... | [
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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", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"ty... | DaniElAbrazos/Reinforce-Cartpole | null | [
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|
# 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-generation | transformers |
# Uploaded model
- **Developed by:** kevinkawchak
- **License:** llama3
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
- **Finetuned using dataset :** zjunlp/Mol-Instructions
- **Dataset identification:** Molecule-oriented Instructions
- **Dataset function:** Description guided molecule design
[C... | {"language": ["en"], "license": "llama3", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "datasets": ["zjunlp/Mol-Instructions"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | kevinkawchak/Meta-Llama-3-8B-Instruct-LoRA-Mol16 | null | [
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|
# Uploaded model
- Developed by: kevinkawchak
- License: llama3
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
- Finetuned using dataset : zjunlp/Mol-Instructions
- Dataset identification: Molecule-oriented Instructions
- Dataset function: Description guided molecule design
Cover Image, META LLAMA 3 ... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "llama-3-8b-finetuned-turkish-instructions", "results": []}]} | mohammedbriman/llama-3-8b-finetuned-turkish-instructions | null | [
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|
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# llama-3-8b-finetuned-turkish-instructions
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on 3641 Turkish instructions in the aya_dataset.
## Training procedure
This model is fine-tuned using QloRA and SFT.
### Traini... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# song-artist-classifier-v17
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/rob... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "song-artist-classifier-v17", "results": []}]} | tjl223/song-artist-classifier-v17 | null | [
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| song-artist-classifier-v17
==========================
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9178
* F1: [0.7368421052631577, 0.761904761904762, 1.0, 0.7499999999999999, 0.9473684210526316, 0.666666666666... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
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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": []} | hiramochoavea/homomex24-t2-beto-85-15 | 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 | null |
more detail see https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B
convert by llama.cpp https://github.com/ggerganov/llama.cpp | {"language": ["en"], "pipeline_tag": "text-generation"} | gdax/Qwen1.5-MoE-A2.7B_gguf | null | [
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more detail see URL
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text-generation | transformers |
# Uploaded model
- **Developed by:** kevinkawchak
- **License:** llama3
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
- **Finetuned using dataset :** zjunlp/Mol-Instructions
- **Dataset identification:** Molecule-oriented Instructions
- **Dataset function:** Description guided molecule design
[C... | {"language": ["en"], "license": "llama3", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "datasets": ["zjunlp/Mol-Instructions"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | kevinkawchak/Meta-Llama-3-8B-Instruct-LoRA-Mol04 | null | [
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|
# Uploaded model
- Developed by: kevinkawchak
- License: llama3
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
- Finetuned using dataset : zjunlp/Mol-Instructions
- Dataset identification: Molecule-oriented Instructions
- Dataset function: Description guided molecule design
Cover Image. META LLAMA 3 ... | [
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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": []} | bdsaglam/llama-3-8b-jerx-aw7ihmbc | 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": []} | santoshsto/mistral-7b-javascript-LORA-4bit | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Llama3-70b-Instruct-4bit
This model is a quantized version of [meta-llama/Meta-Llama-3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct)
### Libraries to Install
- pip install transformers torch
### Authentication needed before running the script
Run the following command in the termi... | {"license": "other", "tags": ["llama3", "meta"], "base_model": "meta-llama/Meta-Llama-3-70B-Instruct", "pipeline_tag": "text-generation"} | screevoai/llama3-70b-instruct-4bit | null | [
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|
# Llama3-70b-Instruct-4bit
This model is a quantized version of meta-llama/Meta-Llama-3-70B-Instruct
### Libraries to Install
- pip install transformers torch
### Authentication needed before running the script
Run the following command in the terminal/jupyter_notebook:
- Terminal: huggingface-cli login
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text-to-speech | null |
# OpenVoice V2
In April 2024, we release OpenVoice V2, which includes all features in V1 and has:
1. Better Audio Quality. OpenVoice V2 adopts a different training strategy that delivers better audio quality.
2. Native Multi-lingual Support. English, Spanish, French, Chinese, Japanese and Korean are natively suppor... | {"language": ["en", "zh"], "license": "mit", "tags": ["audio", "text-to-speech", "instant-voice-cloning"], "inference": false} | myshell-ai/OpenVoiceV2 | null | [
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|
# OpenVoice V2
In April 2024, we release OpenVoice V2, which includes all features in V1 and has:
1. Better Audio Quality. OpenVoice V2 adopts a different training strategy that delivers better audio quality.
2. Native Multi-lingual Support. English, Spanish, French, Chinese, Japanese and Korean are natively suppor... | [
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sentence-similarity | sentence-transformers |
# peulsilva/phrase-bert-setfit-300shots-yahoo_answers
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-Transformer... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | peulsilva/phrase-bert-setfit-300shots-yahoo_answers | null | [
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|
# peulsilva/phrase-bert-setfit-300shots-yahoo_answers
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 sentence-tr... | [
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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": []} | santoshsto/mistral-7b-java-LORA-4bit | 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. -->
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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. -->
# Mistral-7B-Instruct-v0.2_esnli_5000_lr2e-6_1ep
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https:... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2_esnli_5000_lr2e-6_1ep", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_lr2e-6_1ep | null | [
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|
# Mistral-7B-Instruct-v0.2_esnli_5000_lr2e-6_1ep
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-generation | 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": []} | CMU-AIR2/math-deepseek-baseline-FTMWP-FULL | null | [
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# Model Card for Model ID
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null | null |
# Introduction
The Particle Swarm Optimization (PSO) algorithm is an approximation algorithm that finds the best solution from all the explored feasible solutions for any problem that can be formulated into a mathematical equation. In the field of algorithms and theoret... | {"language": ["en"], "license": "mit", "tags": ["Distriuted application", "Swarm Visualization", "Particle Swarm Optimization", "Swarm Intelligence", "Swarm"]} | kkr5155/DistributedSwarmIntelligence | null | [
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!Distributed Swarm Intelligence DSI
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | abhishek/autotrain-llama3-oh-sft-v0-2 | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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text-classification | transformers | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
<div style="text-align:center;width:250px;height:250px;">
<img src="https://huggingface.co/mrm8488/distilroberta-finetuned-fina... | {"license": "apache-2.0", "tags": ["generated_from_trainer", "financial", "stocks", "sentiment"], "datasets": ["financial_phrasebank"], "metrics": ["accuracy"], "thumbnail": "https://huggingface.co/mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis/resolve/main/logo_no_bg.png", "widget": [{"text": "Opera... | mr8488/distilroberta-finetuned-financial-news-sentiment-analysis | null | [
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|
DistilRoberta-financial-sentiment
=================================
This model is a fine-tuned version of distilroberta-base on the financial\_phrasebank dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1116
* Accuracy: 0.9923
Base 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... | {"language": ["en"], "license": "apache-2.0", "tags": ["pretrained"], "pipeline_tag": "text-generation", "inference": {"parameters": {"temperature": 0.7}}} | nazairefab/Mistral_7b_IR-v01 | null | [
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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-turkish-300m-3
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_1"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-turkish-300m-3", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "d... | tgrhn/wav2vec2-turkish-300m-3 | null | [
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| wav2vec2-turkish-300m-3
=======================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common\_voice\_16\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2968
* Wer: 0.2453
Model description
-----------------
More information needed
Intended use... | [
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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. -->
# Meta-Llama-3-8B-Instruct_esnli_5000_lr2e-6_2ep
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_esnli_5000_lr2e-6_2ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_lr2e-6_2ep | null | [
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|
# Meta-Llama-3-8B-Instruct_esnli_5000_lr2e-6_2ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Trai... | [
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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]
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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": []} | melitacruces/llama-2-7b-miniplatypus-melitacruces | null | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [letgoofthepizza/Mistral-7B-v0.1-finetuned-o... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["letgoofthepizza/Mistral-7B-v0.1-finetuned-open-korean-instructions", "openchat/openchat-3.5-0106"]} | mergekit-community/mergekit-slerp-euzaldk | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
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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. -->
# finetuning-sentiment-model-ro-sent-data
This model is a fine-tuned version of [bert-base-multilingual-uncased](https://huggingfa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "bert-base-multilingual-uncased", "model-index": [{"name": "finetuning-sentiment-model-ro-sent-data", "results": []}]} | kaitto/finetuning-sentiment-model-ro-sent-data | null | [
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|
# finetuning-sentiment-model-ro-sent-data
This model is a fine-tuned version of bert-base-multilingual-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3403
- Accuracy: 0.9060
- F1: 0.9151
## Model description
More information needed
## Intended uses & limitations... | [
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null | null |
> [!CAUTION]
> **Outdated:** <br>
> Outdaded tokenizer configuration! <br>
> This is only kept for historical purposes, use the newer models instead of this one.
**"Wild times, good things ahead!"**
"One of the top recent performers in the [**Chaiverse Leaderboard**!](https://freeimage.host/i/JSvNvdx)"
GGUF-IQ-Imat... | {"language": ["en"], "tags": ["roleplay", "llama3", "sillytavern"]} | Lewdiculous/Poppy_Porpoise-v0.6-L3-8B-GGUF-IQ-Imatrix | null | [
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"Wild times, good things ahead!"
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GGUF-IQ-Imatrix quants for ChaoticNeutrals/Poppy_Porpoise-v0... | [
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video-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. -->
# videomae-base-finetuned-ucf101-subset
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-N... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ucf101-subset", "results": []}]} | Amit7Singh/videomae-base-finetuned-ucf101-subset | null | [
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| videomae-base-finetuned-ucf101-subset
=====================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5659
* Accuracy: 0.8657
Model description
-----------------
More information needed
... | [
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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": "deepseek-ai/deepseek-coder-1.3b-instruct"} | CMU-AIR2/math-deepseek-LORA-ArithHard-FTMWP-LORA | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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text-to-image | diffusers | # Anitta
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/luiz10/Anitta/tree/main) them in the Files & versions tab.
| {"license": "unknown", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "Portrait photo of l4r1554n1tt4 woman, gray turtleneck blouse, white background, smiling++, lipstick", "parameters": {"negative_prompt": "cleavage, illustration, bad anatomy, blurry, fuzzy,... | luix10/Anitta | null | [
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<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-unknown #region-us \n# Anitta\n\n<Gallery />## Download model\n\nWeights for this model are available in Safetensors format.\n\nDownload them in the Files & versions tab."
] |
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": []} | nem012/gemma2b-r64m | null | [
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"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #tensorboard #safetensors #gemma #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:
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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. -->
# RoBERTaOPTPES
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"], "base_model": "roberta-base", "model-index": [{"name": "RoBERTaOPTPES", "results": []}]} | StephArn/RoBERTaOPTPES | null | [
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"text-classification",
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"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
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] | null | 2024-04-23T18:35:01+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| RoBERTaOPTPES
=============
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3006
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information n... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-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* lr\\_scheduler\\_warmup\\_steps: ... | [
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text-generation | null |
# DEPRECATED
Download this version with the BPE tokenizer fixes instead: https://huggingface.co/bartowski/Einstein-v6.1-Llama3-8B-GGUF
## Llamacpp imatrix Quantizations of Einstein-v6.1-Llama3-8B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/lla... | {"language": ["en"], "license": "other", "tags": ["axolotl", "generated_from_trainer", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "science", "physics", "chemistry", "biology", "math", "llama", "llama3"], "datasets": ["allenai/ai2_arc", "camel-ai/physics", "camel-ai/chemistry", "camel-ai/biology", "came... | bartowski/Einstein-v6.1-Llama3-8B-old-GGUF | null | [
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==========
Download this version with the BPE tokenizer fixes instead: URL
Llamacpp imatrix Quantizations of Einstein-v6.1-Llama3-8B
---------------------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix ... | [] | [
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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. -->
# Mistral-7B-Instruct-v0.2_esnli_5000_lr2e-6_2ep
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https:... | {"tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2_esnli_5000_lr2e-6_2ep", "results": []}]} | mohsenfayyaz/Mistral-7B-Instruct-v0.2_esnli_5000_lr2e-6_2ep | null | [
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|
# Mistral-7B-Instruct-v0.2_esnli_5000_lr2e-6_2ep
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Train... | [
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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. -->
# mistral7binstruct_summarize
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral7binstruct_summarize", "results": []}]} | Bokhard/mistral7binstruct_summarize | null | [
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"region:us"
] | null | 2024-04-23T18:36:45+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| mistral7binstruct\_summarize
============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4683
Model description
-----------------
More information needed
Intended uses & limit... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/ewof/koishi-8x7b-qlora
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/koishi-8x7b-qlora-... | {"language": ["en"], "library_name": "transformers", "datasets": ["ewof/koishi-instruct-metharme"], "base_model": "ewof/koishi-8x7b-qlora", "quantized_by": "mradermacher"} | mradermacher/koishi-8x7b-qlora-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-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. -->
# song-coherency-classifier-v2
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/r... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "song-coherency-classifier-v2", "results": []}]} | tjl223/song-coherency-classifier-v2 | null | [
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"safetensors",
"roberta",
"text-classification",
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"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T18:40:06+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-FacebookAI/roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| song-coherency-classifier-v2
============================
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1341
* F1: [0.9784946236559139, 0.9789473684210526]
Model description
-----------------
More informati... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
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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 mozilla-foundation/common_voice_11_0 - Huang Jordan
This model is a fine-tuned version of [openai/whisper-base](htt... | {"language": ["zh"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "base_model": "openai/whisper-base", "model-index": [{"name": "Whisper base mozilla-foundation/common_voice_11_0 - Huang Jordan", "results": []}]} | HuangJordan/whisper-base-chinese-cer | null | [
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"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"zh",
"dataset:mozilla-foundation/common_voice_11_0",
"base_model:openai/whisper-base",
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| Whisper base mozilla-foundation/common\_voice\_11\_0 - Huang Jordan
===================================================================
This model is a fine-tuned version of openai/whisper-base on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3159
* Cer: 16.1884
... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | rahil1206/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-23T18:40:54+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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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": []} | peace4ever/roberta-large-finetuned-mongolian_v3 | null | [
"transformers",
"safetensors",
"xlm-roberta",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T18:41:06+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlm-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... | [
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"TAGS\n#transformers #safetensors #xlm-roberta #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #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 on the Hub. This model card has be... |
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. -->
# xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-robert... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de-fr", "results": []}]} | OscarNav/xlm-roberta-base-finetuned-panx-de-fr | null | [
"transformers",
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"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
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] | null | 2024-04-23T18:42:44+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-de-fr
=====================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1633
* F1: 0.8598
Model description
-----------------
More information needed
Intended uses... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\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",
"### Traini... | [
"TAGS\n#transformers #pytorch #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
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"TAGS\n#transformers #pytorch #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* trai... |
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