Instructions to use EdBerg/Baha_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/Baha_3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-9b-it") model = PeftModel.from_pretrained(base_model, "EdBerg/Baha_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e139e552c0071fcf30df277ad7374ff73e3f4d6f6279e0d6ef922f9e28a822a
- Size of remote file:
- 5.43 kB
- SHA256:
- bc703c894e8a702a742ca189cdb198a0430a530b0e7c14074424841270d57f72
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