Instructions to use 1-lock/22b05afc-5100-4d8e-849b-39843d793e1c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/22b05afc-5100-4d8e-849b-39843d793e1c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("huggyllama/llama-7b") model = PeftModel.from_pretrained(base_model, "1-lock/22b05afc-5100-4d8e-849b-39843d793e1c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 925c1d0335e803bb798874421a22d8d7ccbe98dfcb3e7cacd01b0f9f529e3d70
- Size of remote file:
- 15 kB
- SHA256:
- 3365338d91fe9c73ccb655f838649b159b894e604c221f26ce7f80f6a02d7319
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