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:
- 814fc806905932a2655492d5b3f3c66e12bfdc93dbd55a15a0b13f6cb1566fd3
- Size of remote file:
- 15 kB
- SHA256:
- 3d3fca1e064712e183ba320499e555786641f6a4f36e9d9d370c9499d468e0ec
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