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:
- 605c9b4644d0ee35f0051c8474d710eb2e90d3fd298d37fb145a9f03b2acb27b
- Size of remote file:
- 33.4 MB
- SHA256:
- 3e28726ff6cde821c9efbc096fba6889eec2ba1d844bad0e5ed7d10fd83704cc
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