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:
- bbe788bb3e90a3517f71dd49db6de8c38761291a594f0b6a91caada870c20acf
- Size of remote file:
- 2.96 MB
- SHA256:
- 3474a432b3f29987b00d44947290f584a904f9628ce3cb0a185111fe8b57f57d
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