Instructions to use aviici4cs/MedLam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aviici4cs/MedLam with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "aviici4cs/MedLam") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd9ff32910a23632404ac43bd6150bd9bdf02cc9bc1e7973e7dde4bd648d5a7d
- Size of remote file:
- 168 MB
- SHA256:
- 9398193baf3cce91d1ba0a56fba988153e0881cf938174ef72dc4c71c8430ce1
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