Instructions to use daniel40/26019e3e-04a9-4b46-864c-a50483b7797f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use daniel40/26019e3e-04a9-4b46-864c-a50483b7797f 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, "daniel40/26019e3e-04a9-4b46-864c-a50483b7797f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6d798e676d0e3b7231af7d76e53bba022c0a0ef8f53a30b9a841dac7c9836fa
- Size of remote file:
- 6.78 kB
- SHA256:
- 08401723b0d086a21b2ab61fdad7f0120f1a720ea0929dc411baf6f1ed876e4a
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