Instructions to use sayyid14/BioMistralCancer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sayyid14/BioMistralCancer 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") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from sayyid14/BioMistralCancer: direct link, hf CLI and curl.
- Browser
- Download file 75.6 MB
-
https://huggingface.co/sayyid14/BioMistralCancer/resolve/main/optimizer.pt
- Command line
-
hf download hf://sayyid14/BioMistralCancer/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/sayyid14/BioMistralCancer/resolve/main/optimizer.pt
75.6 MB
- Xet hash:
- 79b9840be9abd66ff7934d5a77ddab6fcc5305d6050be75e757895f41abbc7fc
- Size of remote file:
- 75.6 MB
- SHA256:
- 87fff61a983d875ef12ed1b64c3ae8d22b9cb8d312c2627b209d113e266e4ab2
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