Instructions to use sergioalves/14585c98-691c-4c8e-8643-ef0729aaab33 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/14585c98-691c-4c8e-8643-ef0729aaab33 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceH4/zephyr-7b-beta") model = PeftModel.from_pretrained(base_model, "sergioalves/14585c98-691c-4c8e-8643-ef0729aaab33") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 71b9b1c92621f18801546823a21132b0752baa5fd8432068b224392841e51918
- Size of remote file:
- 336 MB
- SHA256:
- 6cae8b17c8bb0f48af6804c41da53e47158c560789b8be8bcf701c0ff26489dd
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