Instructions to use mmendoza/falcon-7b-lora-headlines with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mmendoza/falcon-7b-lora-headlines with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b") model = PeftModel.from_pretrained(base_model, "mmendoza/falcon-7b-lora-headlines") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d193d3cd846cbcdc79e94f882b26379f460a22d17312ad5018cba1506e8b4283
- Size of remote file:
- 9.35 MB
- SHA256:
- 83ff0c166e16fe352899746c9933dc7b1795dc42554be136665b6a3748c50b7b
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