Instructions to use Atharva31/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Atharva31/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-270m") model = PeftModel.from_pretrained(base_model, "Atharva31/results") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c61271645016f3bf9cefe43535433240777b7097743075eee6e91e7e5135852
- Size of remote file:
- 5.3 kB
- SHA256:
- bcdc19a13f89513d102e234deb65c2b01708484bf960b2d16f88009a10070b69
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