Instructions to use BenBranyon/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BenBranyon/checkpoints with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b") model = PeftModel.from_pretrained(base_model, "BenBranyon/checkpoints") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3876a41a1a3593972832fcd0e141df89b22b4be616a171510b3421e92a23bb9d
- Size of remote file:
- 131 MB
- SHA256:
- c97bfeac53292dd43cf01970f369509114b12bc65425e77baf0a3b448a2570ed
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