Instructions to use vdos/9733e7e1-b50d-45b9-8f25-de81a7c28619 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdos/9733e7e1-b50d-45b9-8f25-de81a7c28619 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, "vdos/9733e7e1-b50d-45b9-8f25-de81a7c28619") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c73e8314c5846751c0d7dec5b9beafc2d1ea24f636be5d0ec2a212012d426da
- Size of remote file:
- 83.9 MB
- SHA256:
- 64080d40daaa7501fd7046d2efd4b9256ba74352701f4c72be7e1c0d4e06b318
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