Instructions to use chauhoang/c640b602-7063-4994-aae6-45b411237511 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/c640b602-7063-4994-aae6-45b411237511 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-7b-it") model = PeftModel.from_pretrained(base_model, "chauhoang/c640b602-7063-4994-aae6-45b411237511") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52ec62c967459cade7efba61e0d15cd6dcbc3963951ea6d9a48f6da0d9b1a799
- Size of remote file:
- 6.78 kB
- SHA256:
- 15eb27feb8f96c07a49b75779a792c4f7741b771d72aeab3d349a54f209c9bcd
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