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:
- 655e9c0767114615bbc50c6759b1a2719c5937ff587c794c20c9c01a9be009f7
- Size of remote file:
- 14.2 kB
- SHA256:
- 9fedccb688f0c886766a7b3800b5f8d11ae06da7073a9e1c51fe288673d88098
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