Instructions to use ellyfantina/llama3-medquad-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ellyfantina/llama3-medquad-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "ellyfantina/llama3-medquad-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f02321c5fb62de5795ec0a48cb4e9d95c5ce9ce2487c92a342ecd53050770f75
- Size of remote file:
- 5.43 kB
- SHA256:
- 6dcc5c2f3e9fde6c2e02a36a540bca0fffdbb7da3cb2d8e2d7596e09b85a3ab8
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