Instructions to use VERSIL91/293f4171-e6c9-4854-a803-09018c88d137 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/293f4171-e6c9-4854-a803-09018c88d137 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("princeton-nlp/Sheared-LLaMA-1.3B") model = PeftModel.from_pretrained(base_model, "VERSIL91/293f4171-e6c9-4854-a803-09018c88d137") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e82be2c914c7138ad351c2bec08ade72b65523a84b8a4dbd98272168823bdb48
- Size of remote file:
- 6.78 kB
- SHA256:
- 533d134bc1d054dc8cb167e792f273c510b2fde98f6d868ae1ff2ffe5b5b4ed3
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