Instructions to use chambul/MediSimplifier-LoRA-Adapter-Nebius with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chambul/MediSimplifier-LoRA-Adapter-Nebius with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("aaditya/Llama3-OpenBioLLM-8B") model = PeftModel.from_pretrained(base_model, "chambul/MediSimplifier-LoRA-Adapter-Nebius") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44adc8d2bafbc53a5b78f8b2debcb685dd67bb0e2fc8c58e2c555abf07ba2149
- Size of remote file:
- 109 MB
- SHA256:
- b674c7284e30396122b11ee1db58449cca912084270abf99cf5de129045dfa56
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