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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vi_en_mbart-large-50-many-to-many-mmt_docs_news_train
This model is a fine-tuned version of [facebook/mbart-large-50-many-to-man... | {"tags": ["generated_from_trainer"], "base_model": "facebook/mbart-large-50-many-to-many-mmt", "model-index": [{"name": "vi_en_mbart-large-50-many-to-many-mmt_docs_news_train", "results": []}]} | yuufong/vi_en_mbart-large-50-many-to-many-mmt_docs_news_train | null | [
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"base_model:facebook/mbart-large-50-many-to-many-mmt",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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|
# vi_en_mbart-large-50-many-to-many-mmt_docs_news_train
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information nee... | [
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null | null |
# Test_model2
Test_model2 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [EmbeddedLLM/Mistral-7B-Merge-14-v0.2](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.2)
* [EmbeddedLLM/Mistral-7B-Merge-14-v0.1](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.1)
... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "EmbeddedLLM/Mistral-7B-Merge-14-v0.2", "EmbeddedLLM/Mistral-7B-Merge-14-v0.1"]} | TunyTrinh/test_mistral_05 | null | [
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|
# Test_model2
Test_model2 is a merge of the following models using mergekit:
* EmbeddedLLM/Mistral-7B-Merge-14-v0.2
* EmbeddedLLM/Mistral-7B-Merge-14-v0.1
## Configuration
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilroberta-base-finetuned-wikitext2
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilr... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "distilroberta-base-finetuned-wikitext2", "results": []}]} | Poompatai/distilroberta-base-finetuned-wikitext2 | null | [
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| distilroberta-base-finetuned-wikitext2
======================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8622
Model description
-----------------
More information needed
Intended uses & limi... | [
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text-generation | transformers |
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https:... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-multilingual-downsampled-bloom-7b1 | null | [
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|
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: bigscience/bloom-7b1
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vi_en_mbart-large-50-many-to-many-mmt_news_train
This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt... | {"tags": ["generated_from_trainer"], "base_model": "facebook/mbart-large-50-many-to-many-mmt", "model-index": [{"name": "vi_en_mbart-large-50-many-to-many-mmt_news_train", "results": []}]} | yuufong/vi_en_mbart-large-50-many-to-many-mmt_news_train | null | [
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|
# vi_en_mbart-large-50-many-to-many-mmt_news_train
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt 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": []} | beratcmn/BioMistral-7B-8bit | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers | # Miko
<Gallery />
## Trigger words
You should use `12` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/leimu/4/tree/main) them in the Files & versions tab.
| {"license": "mit", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "12", "output": {"url": "images/mikoiino-2a8ef-1058340851.jpeg"}}], "base_model": "ByteDance/SDXL-Lightning", "instance_prompt": "12"} | leimu/4 | null | [
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<Gallery />
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Weights for this model are available in Safetensors format.
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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": []} | ycfNTU/connect_lora_llama7b | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https:... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-multilingual-pythia-6.9b-deduped | null | [
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### Model Description
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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": []} | ysr/deepseek-rust-1.3b-lora-32 | null | [
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## Model Details
### Model Description
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner", "results": []}]} | inklingScholar/bert-finetuned-ner | null | [
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| bert-finetuned-ner
==================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0632
* Precision: 0.9377
* Recall: 0.9517
* F1: 0.9446
* Accuracy: 0.9863
Model description
-----------------
More information nee... | [
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text-generation | transformers |
# PlatVR-kto - Hermes 2 Pro - Mistral 7B
**Image generated by [copilot designer](https://copilot.microsoft.com/images/create).
## Model Details
This model is part of the EVIDENT framework, design... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["chatml", "mistral", "synthetic data", "finetune", "kto"], "datasets": ["ITG/PlatVR-kto"]} | ITG/PlatVR-kto | null | [
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| PlatVR-kto - Hermes 2 Pro - Mistral 7B
======================================
!image/jpeg
Image generated by copilot designer.
Model Details
-------------
This model is part of the EVIDENT framework, designed to enhance the creative process in generating background images for virtual reality sets. It interprets u... | [
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text-generation | transformers |
# Model Card for SkillTree Enhanced Model
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
This model has been enhanced using the SkillTree approach, which applies specific skills extracted from advanced training or fine-tuning processes to improve the model's capabilities in targeted ar... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["SkillEnhanced", "mistral"]} | HachiML/Swallow-MS-7b-v0.1-MathSkill-OpenMath | null | [
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|
# Model Card for SkillTree Enhanced Model
## Model Details
This model has been enhanced using the SkillTree approach, which applies specific skills extracted from advanced training or fine-tuning processes to improve the model's capabilities in targeted areas.
- Base Model: tokyotech-llm/Swallow-MS-7b-v0.1
- Skil... | [
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text-generation | transformers | # Model Card
### Model Name: Delexa-7b
#### Overview:
**Purpose:** Delexa-7b is our newest large language model designed for general-purpose language tasks. It's currently under development, with ongoing improvements and testing.
**Status:** Active development and refinement. More comprehensive evaluation result... | {"language": ["en", "de"], "license": "apache-2.0", "model-index": [{"name": "Delexa-7b", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "args": {"num_few_shot": 25}}, "m... | lex-hue/Delexa-7b | null | [
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| Model Card
==========
### Model Name: Delexa-7b
#### Overview:
Purpose: Delexa-7b is our newest large language model designed for general-purpose language tasks. It's currently under development, with ongoing improvements and testing.
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text-generation | transformers |
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* [GitHub](https://github.com/hplt-project/monolingual-multilingual-instruction-tuning/tree/main)
* [Paper](https:... | {"language": ["bg", "cs", "zh", "de", "fi", "fr", "ru", "es"], "license": "cc-by-nc-4.0", "tags": ["generation", "question answering", "instruction tuning"]} | HPLT/sft-fpft-multilingual-downsampled-pythia-6.9b-deduped | null | [
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|
### Model Description
This HF repository contains LLMs instruction tuned with full-parameter fine-tuning and then used to study whether monolingual or multilingual instruction tuning is more favourable.
* GitHub
* Paper
#### Instruction tuning details
* Base model: EleutherAI/pythia-6.9b-deduped
* Instruction tunin... | [
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text-generation | 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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "gemma", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "google/gemma-2b", "pipeline_tag": "text-generation", "model-index": [{"name": "out1v", "results": []}]} | dvdmrs09/peft-gemma-2b-vXI | null | [
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#peft #safetensors #gemma #generated_from_trainer #text-generation #base_model-google/gemma-2b #license-gemma #4-bit #region-us
| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
out1v
=====
This model is a fine-tuned version of google/gemma-2b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1243
Model description
-----------------
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | beratcmn/BioMistral-7B-4bit | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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text-generation | transformers |
# SkillTree Model Collection
Applying a skill to your model with SkillTree is akin to unlocking a new ability in a video game's skill tree. Just as you would enhance your character's capabilities by selecting and activating specific skills, you can augment your model's abilities by integrating specialized skills. Fol... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["SkillTree", "mistral"]} | HachiML/SkillTree-Math-OpenMath-Mistral-7B-v0.1 | null | [
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|
# SkillTree Model Collection
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="ashwanth18/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional ... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | ashwanth18/q-FrozenLake-v1-4x4-noSlippery | null | [
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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text-generation | transformers |
# sixtyoneeighty-7b-MOE
sixtyoneeighty-7b-MOE is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [jambroz/sixtyoneeighty-7b-chat](https://huggingface.co/jambroz/sixtyoneeighty-7b-chat)
* [NeuralNove... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "jambroz/sixtyoneeighty-7b-chat"], "base_model": ["jambroz/sixtyoneeighty-7b-chat", "NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story", "S-miguel/The-Trinity-Coder-7B", "chihoonlee10/T3Q-Mistral-Orca-Math-DPO"]} | jambroz/sixtyoneeighty-4x7B-v1 | null | [
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"base_model:NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story",
"base_mode... | null | 2024-04-05T11:04:08+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #jambroz/sixtyoneeighty-7b-chat #conversational #base_model-jambroz/sixtyoneeighty-7b-chat #base_model-NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story #base_model-S-miguel/The-Trinity-Coder-7B #base_model-chihoon... |
# sixtyoneeighty-7b-MOE
sixtyoneeighty-7b-MOE is a Mixure of Experts (MoE) made with the following models using LazyMergekit:
* jambroz/sixtyoneeighty-7b-chat
* NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
* S-miguel/The-Trinity-Coder-7B
* chihoonlee10/T3Q-Mistral-Orca-Math-DPO
## Configuration
## Usage
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="ashwanth18/taxi", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
e... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "taxi", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.48 +/- 2.7... | ashwanth18/taxi | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-05T11:04:36+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
text2text-generation | transformers | # Uploaded model
- **Developed by:** [Vicky](https://huggingface.co/Mr-Vicky-01)
- **License:** mit
- **Finetuned from model :** [Bart summarization](https://huggingface.co/Mr-Vicky-01/Bart-Finetuned-conversational-summarization)
# Inference
```terminal
pip install transformers
```
```
# Load model directly
from tra... | {"language": ["en"], "license": "mit", "library_name": "transformers", "datasets": ["databricks/databricks-dolly-15k"], "metrics": ["rouge"], "widget": [{"text": "Please answer this question: What is Artifical Intelligence?"}]} | Mr-Vicky-01/Facebook-Bart-Qna | null | [
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"region:us"
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"en"
] | TAGS
#transformers #safetensors #bart #text2text-generation #en #dataset-databricks/databricks-dolly-15k #license-mit #autotrain_compatible #endpoints_compatible #region-us
| # Uploaded model
- Developed by: Vicky
- License: mit
- Finetuned from model : Bart summarization
# Inference
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/mistral-22 | null | [
"transformers",
"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T11:14:02+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model 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?"}]}]} | Ahmad-Jasmy80/mistral7b | null | [
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"autotrain",
"text-generation-inference",
"text-generation",
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"conversational",
"license:other",
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"region:us"
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#transformers #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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] |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Giuseppe23/mistral_7b_athlos_v0.4 | null | [
"transformers",
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"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for habib-v3
<!-- Provide a quick summary of what the model is/does. -->
This model is derivative version of [Silicon-Maid-7B](https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B) on internal datasets.
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model ca... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "trl", "sft"], "base_model": "SanjiWatsuki/Silicon-Maid-7B", "model-index": [{"name": "habib-v3", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (2... | ChavyvAkvar/habib-v3 | null | [
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|
# Model Card for habib-v3
This model is derivative version of Silicon-Maid-7B on internal datasets.
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- Funded by [optional]: C... | [
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image-to-text | transformers |
# <font color="turquoise"> <p style="text-align:center"> Translating Math Formula Images To LaTeX Sequences </p> </font>
Scaling Up Image-to-LaTeX Performance: Sumen An End-to-End Transformer Model With Large Dataset
![image/png](https://cdn-uploads.huggingface.co/production/uploads/639ca4299e1c02384ee5d753/Rh6_Pu3... | {"license": "apache-2.0", "tags": ["img2latex", "latex ocr", "Printed Mathematical Expression Recognition", "Handwritten Mathematical Expression Recognition"], "datasets": ["hoang-quoc-trung/fusion-image-to-latex-datasets"], "pipeline_tag": "image-to-text"} | hoang-quoc-trung/sumen-base | null | [
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"license:apache-2.0",
"endpoints_compat... | null | 2024-04-05T11:19:28+00:00 | [] | [] | TAGS
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|
# <font color="turquoise"> <p style="text-align:center"> Translating Math Formula Images To LaTeX Sequences </p> </font>
Scaling Up Image-to-LaTeX Performance: Sumen An End-to-End Transformer Model With Large Dataset
!image/png
## Performance
!image/png
!image/png
## Uses
#### Source code: URL
#### Inference... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/mistral-22-a | null | [
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# Model Card for Model ID
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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
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text-generation | transformers | # command-r-gptq
---
license: cc-by-nc-4.0
---
| {} | NEURALDEEPTECH/command-r-gptq | null | [
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"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
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#transformers #cohere #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| # command-r-gptq
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license: cc-by-nc-4.0
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"TAGS\n#transformers #cohere #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n# command-r-gptq\n---\nlicense: cc-by-nc-4.0\n---"
] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TroyDoesAI/Mermaid-Yi-9B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up... | {"language": ["en"], "license": "cc-by-4.0", "library_name": "transformers", "base_model": "TroyDoesAI/Mermaid-Yi-9B", "quantized_by": "mradermacher"} | mradermacher/Mermaid-Yi-9B-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:TroyDoesAI/Mermaid-Yi-9B",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T11:26:08+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-TroyDoesAI/Mermaid-Yi-9B #license-cc-by-4.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-TroyDoesAI/Mermaid-Yi-9B #license-cc-by-4.0 #endpoints_compatible #region-us \n"
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/mistral-22-b | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T11:27:03+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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": []} | jth500/sft-gpt2-xsum-0504 | null | [
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"gpt2",
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"region:us"
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"1910.09700"
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#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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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-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner", "results": []}]} | stiltonsrevenge/bert-finetuned-ner | null | [
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"safetensors",
"bert",
"token-classification",
"generated_from_trainer",
"base_model:bert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T11:28:49+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #token-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-finetuned-ner
==================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0617
* Precision: 0.9366
* Recall: 0.9520
* F1: 0.9442
* Accuracy: 0.9866
Model description
-----------------
More information nee... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-generation | transformers |
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
<details><summary>See axolotl config</summary>
axolotl version: `0.4.0`
```yaml
# use google/gemma-7b... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["generated_from_trainer"], "base_model": "google/gemma-2b", "pipeline_tag": "text-generation", "model-index": [{"name": "out1v", "results": []}]} | dvdmrs09/peft-gemma-2b-vXI-merged | null | [
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"text-generation",
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"base_model:google/gemma-2b",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
out1v
=====
This model is a fine-tuned version of google/gemma-2b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1243
Model description
-----------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** hlitio
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | hlitio/Mistral-planner_v4 | null | [
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|
# Uploaded model
- Developed by: hlitio
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: hlitio\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<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. -->
# 0.001_optm_idpo_iter_1
This model is a fine-tuned version of [ShenaoZhang/0.001_idpo_iter_1](https://huggingface.co/ShenaoZhang/... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_idpo_iter_1", "model-index": [{"name": "0.001_optm_idpo_iter_1", "results": []}]} | ShenaoZhang/0.001_optm_idpo_iter_1 | null | [
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"alignment-handbook",
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"dataset:updated",
"dataset:original",
"base_model:ShenaoZhang/0.001_idpo_iter_1",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
... | null | 2024-04-05T11:37:03+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-updated #dataset-original #base_model-ShenaoZhang/0.001_idpo_iter_1 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# 0.001_optm_idpo_iter_1
This model is a fine-tuned version of ShenaoZhang/0.001_idpo_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
"# 0.001_optm_idpo_iter_1\n\nThis model is a fine-tuned version of ShenaoZhang/0.001_idpo_iter_1 on the updated and the original datasets.",
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"## Intended uses & limitations\n\nMore 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": []} | Grayx/unstable_34 | null | [
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"arxiv:1910.09700",
"autotrain_compatible",
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"region:us"
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# 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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- Shared by [optional]:
- Model type:
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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": []} | bharat-p/med_qna | null | [
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"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ParkTaeEon/Myrrh_solar_10.7b_v0.1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do no... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "ParkTaeEon/Myrrh_solar_10.7b_v0.1", "quantized_by": "mradermacher"} | mradermacher/Myrrh_solar_10.7b_v0.1-GGUF | null | [
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"en",
"base_model:ParkTaeEon/Myrrh_solar_10.7b_v0.1",
"license:apache-2.0",
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] | TAGS
#transformers #gguf #en #base_model-ParkTaeEon/Myrrh_solar_10.7b_v0.1 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-ParkTaeEon/Myrrh_solar_10.7b_v0.1 #license-apache-2.0 #endpoints_compatible #region-us \n"
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] |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kenchiayy/wav2vec2-charbpe-large-960h-lv60-atcosim_corpus-google-colab-test-1 | null | [
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|
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## Model Details
### Model Description
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- Funded by [optional]:
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text-generation | transformers |
# 🇹🇭 OpenThaiGPT 70b 1.0.0
[More Info](https://openthaigpt.aieat.or.th/)
🇹🇭 **OpenThaiGPT ... | {"language": ["th", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["openthaigpt", "llama"], "pipeline_tag": "text-generation"} | openthaigpt/openthaigpt-1.0.0-70b-chat | null | [
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"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T11:55:28+00:00 | [] | [
"th",
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#transformers #safetensors #gguf #llama #text-generation #openthaigpt #th #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
| 🇹🇭 OpenThaiGPT 70b 1.0.0
========================
!OpenThaiGPT
More Info
🇹🇭 OpenThaiGPT 70b Version 1.0.0 is an advanced 70-billion-parameter Thai language chat model based on LLaMA v2 released on April 8, 2024. It has been specifically fine-tuned for Thai instructions and enhanced by incorporating over 10,0... | [
"### System prompt:",
"### Examples",
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"#### Single Turn Conversation with Context (RAG) Example",
"#### Multi Turn Conversation Example",
"##### First turn",
"##### Second turn",
"##### Third turn",
"##### Fourth turn",
"#### Multi Turn Conversation with Co... | [
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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": []} | kenchiayy/wav2vec2-charbpe-large-960h-lv60-atcosim_corpus-google-colab-test-2 | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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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... | sandrospina/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
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"reinforcement-learning",
"model-index",
"region:us"
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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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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Aratako/Superkarakuri-lm-chat-70b-v0.1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they ... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Aratako/Superkarakuri-lm-chat-70b-v0.1", "quantized_by": "mradermacher"} | mradermacher/Superkarakuri-lm-chat-70b-v0.1-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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fill-mask | 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": []} | LuluHu/dnam2_100k | 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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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# MentalRoBERTa_EmpAI_final
This model is a fine-tuned version of [mental/mental-roberta-base](https://huggingface.co/mental/menta... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "base_model": "mental/mental-roberta-base", "model-index": [{"name": "MentalRoBERTa_EmpAI_final", "results": []}]} | LuangMV97/MentalRoBERTa_EmpAI_final | null | [
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|
# MentalRoBERTa_EmpAI_final
This model is a fine-tuned version of mental/mental-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0667
- eval_runtime: 79.8562
- eval_samples_per_second: 150.295
- eval_steps_per_second: 9.404
- epoch: 0.91
- step: 681
## Mod... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | florianhoenicke/my-awesome-model5 | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"custom_code",
"arxiv:1910.09700",
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# Model Card for Model ID
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null | null | Here is the DataVare MSG To HTML Converter one of the best software for Outlook MSG files to HTML Conversion. It helps to open PST files into any web browser like- Chrome, Google, etc. It can export bulk MSG files into HTML format with emails, attachments, contacts, etc. It supports all editions of Windows and Outlook ... | {} | DataVare/msg-to-html-converter | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/Uncle38 | 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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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 |
# Uploaded model
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- **License:** apache-2.0
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | yuiseki/tinyllama-jv-wikipedia-1.5T-v0.1 | null | [
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null | transformers |
# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | # Model Card
## Summary
h2o-danube2-1.8b-sft is a chat fine-tuned model by H2O.ai with 1.8 billion parameters. We release three versions of this model:
| Model Name | Description |
|:-----------------------------------------------------------... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio"], "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico", "pipeline_tag": "text-generation"} | h2oai/h2o-danube2-1.8b-sft | null | [
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| Model Card
==========
Summary
-------
h2o-danube2-1.8b-sft is a chat fine-tuned model by URL with 1.8 billion parameters. We release three versions of this model:
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------------------
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text-generation | transformers | # Model Card
## Summary
h2o-danube2-1.8b-chat is a chat fine-tuned model by H2O.ai with 1.8 billion parameters. We release three versions of this model:
| Model Name | Description |
|:----------------------------------------------------------... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio"], "thumbnail": "https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico", "pipeline_tag": "text-generation"} | h2oai/h2o-danube2-1.8b-chat | null | [
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Summary
-------
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text-generation | transformers |
## Summary
h2o-danube2-1.8b-base is a foundation model trained by H2O.ai with 1.8 billion parameters. For details, please refer to our [Technical Report](https://arxiv.org/abs/2401.16818). We release three versions of this model:
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Juniplayground/juniper-all-mpnet-base-v2-v5 | 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. -->
# QURANIC Whisper Large V3 - full
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/wh... | {"language": ["ar"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["ahishamm/QURANICWhisperDataset"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "QURANIC Whisper Large V3 - full", "results": [{"task": {"type": "automatic-speech... | ahishamm/finetuned-whisper-quranic-large-v3-full | null | [
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| QURANIC Whisper Large V3 - full
===============================
This model is a fine-tuned version of openai/whisper-large-v3 on the QURANICWhisperDataset dataset.
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* Loss: 0.0375
* Wer: 121.0055
Model description
-----------------
More information needed
... | [
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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": []} | Reihaneh/wav2vec2_germanic_common_voice_2 | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-05T12:22:54+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | Umer4/new_model_qna | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Junrulu/FIPO-IPL-IPO-Tulu2-70B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/FIPO-IPL-I... | {"language": ["en"], "library_name": "transformers", "datasets": ["Junrulu/Prompt_Preference_Dataset"], "base_model": "Junrulu/FIPO-IPL-IPO-Tulu2-70B", "quantized_by": "mradermacher"} | mradermacher/FIPO-IPL-IPO-Tulu2-70B-GGUF | null | [
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#transformers #gguf #en #dataset-Junrulu/Prompt_Preference_Dataset #base_model-Junrulu/FIPO-IPL-IPO-Tulu2-70B #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | null |
4-bit [OmniQuant](https://arxiv.org/abs/2308.13137) quantized version of [Yi-34-Chat](https://huggingface.co/01-ai/Yi-34B-Chat).
| {"license": "other", "license_name": "yi-license", "license_link": "LICENSE"} | numen-tech/Yi-34B-Chat-w4a16g128asym | null | [
"arxiv:2308.13137",
"license:other",
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"2308.13137"
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#arxiv-2308.13137 #license-other #region-us
|
4-bit OmniQuant quantized version of Yi-34-Chat.
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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. -->
# deberta-v3-base-finetuned-ner
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["maccrobat_biomedical_ner"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/deberta-v3-base", "model-index": [{"name": "deberta-v3-base-finetuned-ner", "results": [{"task": {"type": "token-classification", "name": "Token... | NeverLearn/deberta-v3-base-finetuned-ner | null | [
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| deberta-v3-base-finetuned-ner
=============================
This model is a fine-tuned version of microsoft/deberta-v3-base on the maccrobat\_biomedical\_ner dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9704
* Precision: 0.7844
* Recall: 0.7816
* F1: 0.7830
* Accuracy: 0.8584
Model ... | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | florianhoenicke/complete | null | [
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"endpoints_compatible",
"region:us"
] | null | 2024-04-05T12:34:17+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #bert #feature-extraction #sentence-similarity #custom_code #endpoints_compatible #region-us
|
# {MODEL_NAME}
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-transformers installed:
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Audino/my-awesome-modelv2 | null | [
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"arxiv:1910.09700",
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"text-generation-inference",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
# Uploaded model
- **Developed by:** katkout2313
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | katkout2313/lora_model | null | [
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|
# Uploaded model
- Developed by: katkout2313
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | null |
# Style-Bert-VITS2向けの事前学習モデル
[Style-Bert-VITS2](https://github.com/litagin02/Style-Bert-VITS2)で使用できる以下の学習データで学習を行ったクリーンな(*1)事前学習データになります
(*1)
ここでいうクリーンは事前学習に使用した学習データが明記されていることを指しています
## 学習データセット
* [つくよみちゃんコーパス│声優統計コーパス（JVSコーパス準拠）](https://tyc.rei-yumesaki.net/material/corpus/)
* [みんなで作るJSUTコーパスbasic5000 BASIC5000... | {"language": ["ja"], "license": "other", "tags": ["Style-Bert-VITS2"]} | ayousanz/style-bert-vits2-pretraing-ver2 | null | [
"Style-Bert-VITS2",
"ja",
"license:other",
"region:us"
] | null | 2024-04-05T12:40:14+00:00 | [] | [
"ja"
] | TAGS
#Style-Bert-VITS2 #ja #license-other #region-us
|
# Style-Bert-VITS2向けの事前学習モデル
Style-Bert-VITS2で使用できる以下の学習データで学習を行ったクリーンな(*1)事前学習データになります
(*1)
ここでいうクリーンは事前学習に使用した学習データが明記されていることを指しています
## 学習データセット
* つくよみちゃんコーパス│声優統計コーパス（JVSコーパス準拠）
* みんなで作るJSUTコーパスbasic5000 BASIC5000_0001～BASIC5000_0600 （夢前黎担当部分を許可を得て使用）
* 黄鏡博人さん からボイスデータをご提供いただきました
* あみたろの声素材工房
## 学習パラメータ
* 学習ステ... | [
"# Style-Bert-VITS2向けの事前学習モデル\n\nStyle-Bert-VITS2で使用できる以下の学習データで学習を行ったクリーンな(*1)事前学習データになります\n\n(*1)\nここでいうクリーンは事前学習に使用した学習データが明記されていることを指しています",
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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": []} | AI4DS/CodeLLama-NL2SQL-34B | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-05T12:41:37+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
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"# Model Card for Model ID",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bartpho-syllable-base-applied-backtranslation
This model is a fine-tuned version of [vinai/bartpho-syllable-base](https://huggin... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "vinai/bartpho-syllable-base", "model-index": [{"name": "bartpho-syllable-base-applied-backtranslation", "results": []}]} | long292/bartpho-syllable-base-applied-backtranslation | null | [
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| bartpho-syllable-base-applied-backtranslation
=============================================
This model is a fine-tuned version of vinai/bartpho-syllable-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9491
* Bleu: 19.9803
* Gen Len: 17.579
Model description
-----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\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",
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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/science_of_gambling | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sharan-coh-docs-peft-2-mistral-7b-instruct-v0.2-v1
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](ht... | {"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": "sharan-coh-docs-peft-2-mistral-7b-instruct-v0.2-v1", "results": []}]} | sharanharsoor/sharan-coh-docs-peft-2-mistral-7b-instruct-v0.2-v1 | null | [
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|
# sharan-coh-docs-peft-2-mistral-7b-instruct-v0.2-v1
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 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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text-generation | transformers |
# Uploaded model
- **Developed by:** katkout2313
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | katkout2313/Mistral-7b-PPP-Qlora | null | [
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|
# Uploaded model
- Developed by: katkout2313
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
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<img src="URL width="200"/>
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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": []} | ysr/deepseek-1.3b-rust-lora-64 | null | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
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- llm_int8_skip_modules: None
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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": []} | yuiseki/tinyllama-ja-wikibook-hs-v0.1 | 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": []} | B2111797/recipe_v1_lr1e-3_wu4000_epo5 | null | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | jth500/sft-bart-xsum-0504 | null | [
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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. -->
# timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_spatial_only
This model is a fine-tuned version ... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/timesformer-base-finetuned-k400", "model-index": [{"name": "timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_spatial_only", "results": []}]} | JackWong0911/timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num_frame_10_spatial_only | null | [
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| timesformer-base-finetuned-k400-finetuned-kinetic400-subset-epoch6-num\_frame\_10\_spatial\_only
================================================================================================
This model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 on an unknown dataset.
It achieves the follow... | [
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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": []} | MrezaPRZ/CodeLLama-NL2SQL-34B | 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-classification | setfit |
# SetFit
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. A [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance is used for classification.
The model has been trained using an efficient ... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "widget": [{"text": "GMB Gambia"}, {"text": " end flyout 2 "}, {"text": "Books\n"}, {"text": "Persistent"}, {"text": "Session"}], "pipelin... | spaly99/my-setfit-model-dataset-PG-OCR-3 | null | [
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#setfit #safetensors #mpnet #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #model-index #region-us
| SetFit
======
This is a SetFit model that can be used for Text Classification. A LogisticRegression instance is used for classification.
The model has been trained using an efficient few-shot learning technique that involves:
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2. Training a classific... | [
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null | null | # голос брайн мапса
скоро | {"license": "openrail"} | remzloev/brianmaps | null | [
"license:openrail",
"region:us"
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| # голос брайн мапса
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "pszemraj/long-t5-tglobal-base-sci-simplify", "model-index": [{"name": "long-t5-scisumm-accelerate-v2", "results": []}]} | daniel-was-taken/long-t5-scisumm-accelerate-v2 | null | [
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| <img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
long-t5-scisumm-accelerate-v2
=============================
This model is a fine-tuned version of pszemraj/long-t5-tglobal-base-sci-simplify on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0496
* ... | [
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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. -->
# distilroberta-base-finetuned-cyberReadmes
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/dist... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "distilroberta-base-finetuned-cyberReadmes", "results": []}]} | Poompatai/distilroberta-base-finetuned-cyberReadmes | null | [
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| distilroberta-base-finetuned-cyberReadmes
=========================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0000
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: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-base-finetuned-xsum
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
## ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "t5-base", "model-index": [{"name": "t5-base-finetuned-xsum", "results": []}]} | Jigglypuff77/t5-base-finetuned-xsum | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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|
# t5-base-finetuned-xsum
This model is a fine-tuned version of t5-base on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The foll... | [
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object-detection | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | diliash/detr-2024-04-05-13-03-08 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | mohit19906/falcon-7b-instruct-SBCQNAUserAssist | null | [
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# Model Card for Model ID
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# en_vi_mt5-base_conv_train
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/mt5-base", "model-index": [{"name": "en_vi_mt5-base_conv_train", "results": []}]} | yuufong/en_vi_mt5-base_conv_train | null | [
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|
# en_vi_mt5-base_conv_train
This model is a fine-tuned version of google/mt5-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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null | 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": "mistralai/Mistral-7B-Instruct-v0.2"} | Aananda-giri/Enlighten_Instruct | null | [
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### Model Sources [optional]
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text-generation | transformers | 
# RP "With the zoomies"
# Vision/multimodal capabilities:
Quants Found Here:
If you want to use vision functionality:
* You must use the latest versions of [Koboldcpp](https://github.com/LostRuin... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["arlineka/KittyNyanster-v1", "Nitral-AI/KukulStanta-7B"]} | Nitral-AI/Nyan-Stunna-7B | null | [
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| !image/png
# RP "With the zoomies"
# Vision/multimodal capabilities:
Quants Found Here:
If you want to use vision functionality:
* You must use the latest versions of Koboldcpp.
To use the multimodal capabilities of this model and use vision you need to load the specified mmproj file, this can be found inside t... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-imdb
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-imdb", "results": []}]} | miktf/distilbert-base-uncased-finetuned-imdb | null | [
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|
# distilbert-base-uncased-finetuned-imdb
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
### ... | [
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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": []} | tollefj/norbert3-reranker-base | null | [
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"safetensors",
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#transformers #safetensors #text-classification #custom_code #arxiv-1910.09700 #autotrain_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:
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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. -->
# sharan-coh-docs-peft-3-mistral-7b-instruct-v0.2-v1
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](ht... | {"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": "sharan-coh-docs-peft-3-mistral-7b-instruct-v0.2-v1", "results": []}]} | sharanharsoor/sharan-coh-docs-peft-3-mistral-7b-instruct-v0.2-v1 | null | [
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|
# sharan-coh-docs-peft-3-mistral-7b-instruct-v0.2-v1
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 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 | 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": []} | Abhaykoul/idefics-9b-doodles | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
# Uploaded model
- **Developed by:** katkout2313
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | katkout2313/lora_model1 | null | [
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"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
"license:apache-2.0",
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|
# Uploaded model
- Developed by: katkout2313
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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)
```python
from stable_baselines3.common.evaluation import evaluate_policy
from stable... | {"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... | davmel/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-05T13:37:53+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
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] |
null | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| na... | {"library_name": "keras"} | ShaharAdar/best-model-try | null | [
"keras",
"has_space",
"region:us"
] | null | 2024-04-05T13:41:58+00:00 | [] | [] | TAGS
#keras #has_space #region-us
| Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information needed
Training procedure
------------------
### Training hyperparameters
The following h... | [
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] |
null | null |
# helios-314b-alpha
This repository contains JAX example code for loading and running the Helios-314B-Alpha open-weights model.
The Helios-314B-Alpha model is a trained version of the Grok-V1 open source model released by X.AI Corp.<br />
We have fine-tuned the model to perform on crypto-related queries.<br />
It ac... | {"license": "apache-2.0", "tags": ["finetuned", "grok-1"]} | ETH-HELIOS-AI/helios-314b-alpha | null | [
"finetuned",
"grok-1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-05T13:43:41+00:00 | [] | [] | TAGS
#finetuned #grok-1 #license-apache-2.0 #region-us
|
# helios-314b-alpha
This repository contains JAX example code for loading and running the Helios-314B-Alpha open-weights model.
The Helios-314B-Alpha model is a trained version of the Grok-V1 open source model released by X.AI Corp.<br />
We have fine-tuned the model to perform on crypto-related queries.<br />
It ac... | [
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