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:
- 9c47f7a6459c524c015363acfe5f5a79983649744d40524b7707b0a39227c694
- Size of remote file:
- 320 MB
- SHA256:
- b7f8eae79434e10233ab4d32305e07b314de0ecda1b8e45f9e05bcddffca9b5c
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