Instructions to use 1-lock/8e20aad4-3010-401a-8e2e-b0bdfdcfd3e0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/8e20aad4-3010-401a-8e2e-b0bdfdcfd3e0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "1-lock/8e20aad4-3010-401a-8e2e-b0bdfdcfd3e0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44c121e67bbc5d7d1845628a14449c216cd4074aabb4245dff0af315c26a2154
- Size of remote file:
- 320 MB
- SHA256:
- 7a5b05543a41270e7881b7114e234b6e8f9547ea106f183591f257a4f3521011
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