Instructions to use chauhoang/4ccc321d-991e-4c63-b481-6e243305b407 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/4ccc321d-991e-4c63-b481-6e243305b407 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Maykeye/TinyLLama-v0") model = PeftModel.from_pretrained(base_model, "chauhoang/4ccc321d-991e-4c63-b481-6e243305b407") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6ae3ac2363329908f522ae8b80b7c97f065a48caefe621b28a3d7b05c5930da
- Size of remote file:
- 391 kB
- SHA256:
- 5ebc87bbab8164691873103edd6eb447a0898460c68609d39102c85cc0e36bf6
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