Instructions to use tuanna08go/0673b10d-c0ca-09c0-b80c-f3a3bba62d15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuanna08go/0673b10d-c0ca-09c0-b80c-f3a3bba62d15 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-2b-it") model = PeftModel.from_pretrained(base_model, "tuanna08go/0673b10d-c0ca-09c0-b80c-f3a3bba62d15") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- adeb24deb76b2eb848bf71dc0260caea897cb5fc7096e5a03b24f8bf056074b8
- Size of remote file:
- 1.06 kB
- SHA256:
- b1df0528620c07325b8faa7567e59b0c1e86a1f1ee6af1245a69c6c0463fe4e2
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