Instructions to use EdBerg/Baha_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/Baha_4 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_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc9120508f2eafa1a232bfcfb19745a599b1d2a68352b3743d558cd59af1a8db
- Size of remote file:
- 5.43 kB
- SHA256:
- 4789d31aaff9eb5b30115877057d71b941bab4b00332960faa6ff3f0d2564e0a
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