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:
- c3425f50227c0138b80d9f0747fc15f611c2d36319c04ad8f6dc940066e14efd
- Size of remote file:
- 39.3 MB
- SHA256:
- fe035577b9bf8b400d59e3c088669cada76ce7f0b56acab55426e14908ab7288
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