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:
- 989e1b0e1b2688a7f65426e0c6476b73ba0e78620a8fc62554e08aafd3d0a8fc
- Size of remote file:
- 6.78 kB
- SHA256:
- 61df2716d072ba87dcabaa00c85f1e2221146e2de3967727c8ed021bcf5332ea
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.