Instructions to use prxy5608/2f902545-d43c-4287-8d9d-e2c26c57d440 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/2f902545-d43c-4287-8d9d-e2c26c57d440 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Xenova/tiny-random-Phi3ForCausalLM") model = PeftModel.from_pretrained(base_model, "prxy5608/2f902545-d43c-4287-8d9d-e2c26c57d440") - Notebooks
- Google Colab
- Kaggle
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