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:
- e66958449688a5f82344b1c720421b32951fd5c995530d772fa3de25eeaca8da
- Size of remote file:
- 336 MB
- SHA256:
- 7a659c2630493bb2801ea095bed42b3c3a30881ce51eafbcbeb5cd8f0c5226f0
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