Instructions to use kurtn718/TestFineTune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kurtn718/TestFineTune with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b") model = PeftModel.from_pretrained(base_model, "kurtn718/TestFineTune") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25de219a6e1726a1b3c0e14f73575009baa256e43caed8ac0971fa1b025d9343
- Size of remote file:
- 522 MB
- SHA256:
- 0d56167de0cbb796019c6b1df86d9c1122876c4cae810d8231c8a5b6a9adb6f4
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