Instructions to use rbelanec/train_multirc_1745950260 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rbelanec/train_multirc_1745950260 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-1b-it") model = PeftModel.from_pretrained(base_model, "rbelanec/train_multirc_1745950260") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08ed807ddeaa14065765db21d34da953ea88aee94121c3a96853f416cbbc65f0
- Size of remote file:
- 5.75 kB
- SHA256:
- 8e5e0f2f1e3a929cfc61be1a25d93b3eafdb9e9c1da8864d4dff699649262840
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