Instructions to use CocoNutZENG/Epipaca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CocoNutZENG/Epipaca with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("hfl/llama-3-chinese-8b-instruct") model = PeftModel.from_pretrained(base_model, "CocoNutZENG/Epipaca") - Notebooks
- Google Colab
- Kaggle
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# Epipaca
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1. This is the cross-languadge LLM adapter design for epilepsy-care instuction, with support both Mandarin and English.
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2. It is finetune by [Epilepsy_Synthetics](https://huggingface.co/datasets/CocoNutZENG/Epilepsy_Synthetics "Epilepsy_Synthetics") dataset.
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## Training and evaluation data
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should probably proofread and complete it, then remove this comment. -->
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# Epipaca
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1. This is the cross-languadge LLM adapter design for epilepsy-care instuction, with support both Mandarin and English.
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2. It is finetune by [Epilepsy_Synthetics](https://huggingface.co/datasets/CocoNutZENG/Epilepsy_Synthetics "Epilepsy_Synthetics") dataset.
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<br>
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** Notice: Haven't validate yet. Use with care. **
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## Training and evaluation data
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