Instructions to use TinyPixel/pythia-oa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TinyPixel/pythia-oa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-1b") model = PeftModel.from_pretrained(base_model, "TinyPixel/pythia-oa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a793f582df2f2787ade3427a28ea18854f9e92fe6c8bd174a005772bdc0c3ed2
- Size of remote file:
- 269 MB
- SHA256:
- 6874466f49fb54ede3c4351ee0480f9ea1f110fee3679be8206b292a359af5c6
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