Instructions to use Solshine/llama3_SOAP_Notes_01_lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Solshine/llama3_SOAP_Notes_01_lora_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Solshine/llama3_SOAP_Notes_01_lora_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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README.md
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- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
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Dataset for Finetune: https://huggingface.co/datasets/omi-health/medical-dialogue-to-soap-summary?row=0
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This llama model was trained with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
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Dataset for Finetune: https://huggingface.co/datasets/omi-health/medical-dialogue-to-soap-summary?row=0
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60 training steps
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This llama model was trained with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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