Instructions to use sayyid14/BioMistralCancer-withLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sayyid14/BioMistralCancer-withLoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("BioMistral/BioMistral-7B") model = PeftModel.from_pretrained(base_model, "sayyid14/BioMistralCancer-withLoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc73c66d5f0354dba8ccd87df4ac3a659bc8d53192faf759ab9767e7a26f4091
- Size of remote file:
- 75.6 MB
- SHA256:
- 910dc9e1ee19b05944cf3c1f6c5db091e12c734a1586ef6e956ddd847bdbe150
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.