Instructions to use dimasik1987/bfd75200-f9fc-4217-824f-eb6aa1a4f9a2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik1987/bfd75200-f9fc-4217-824f-eb6aa1a4f9a2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("garage-bAInd/Camel-Platypus2-70B") model = PeftModel.from_pretrained(base_model, "dimasik1987/bfd75200-f9fc-4217-824f-eb6aa1a4f9a2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0d2328ff0878009f4b142eef3c616625030309b31683e33bd812a4fda3b9402
- Size of remote file:
- 1.66 GB
- SHA256:
- c595451639068dda702d7e4c0921e34900a705d8c8f17487c6324ca93a8f97ea
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