Instructions to use marialvsantiago/64744159-6894-4cd2-a149-d22aa951acc1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use marialvsantiago/64744159-6894-4cd2-a149-d22aa951acc1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-1.3b") model = PeftModel.from_pretrained(base_model, "marialvsantiago/64744159-6894-4cd2-a149-d22aa951acc1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0af233bf20f9deca871b1c22baaef9ba120df517e16d185cc853859c778de5a9
- Size of remote file:
- 56.7 MB
- SHA256:
- 6c4a39e9951c88654dffaead60480f554d50187c539d560cfa8d204665a24696
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