Instructions to use TorpilleAlpha/scanpy-llama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TorpilleAlpha/scanpy-llama with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "TorpilleAlpha/scanpy-llama") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from TorpilleAlpha/scanpy-llama: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/TorpilleAlpha/scanpy-llama/resolve/main/adapter_model.bin
- Command line
-
hf download hf://TorpilleAlpha/scanpy-llama/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/TorpilleAlpha/scanpy-llama/resolve/main/adapter_model.bin
16.8 MB
- Xet hash:
- 990b3fc1fa5495298f014a5f9f37bbc157ab56738fdd13f50dc1839c5ea7e9ff
- Size of remote file:
- 16.8 MB
- SHA256:
- baeed30dc876177977da333ae23eb50f0631f8e1678981516e1b687bb37584fb
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