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:
- 57243f1ff83545755ae11f94bb57d587cb060cd57dd8e27ef010e0e4477a3bfb
- Size of remote file:
- 17.5 MB
- SHA256:
- e8091043a2ed2eb9e7420b6ed980cb768a7d98ab73831543409372204cb87e2d
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