Instructions to use EdBerg/Baha_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/Baha_1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "EdBerg/Baha_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c6ee11e9af14fe7f99e7689d45ed1f0386399e4f4d5d3fbde2bf92e8b3ba928
- Size of remote file:
- 5.43 kB
- SHA256:
- 55d8527968d76f0b74196a273254c5e231535ef4c833b95ff9fbf21047024ee5
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