Instructions to use GaetanoManzone/train-dir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GaetanoManzone/train-dir with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "GaetanoManzone/train-dir") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebe9d2b87d2cfdaf96331dea51b0ebb73467902e0fb3ad5813497ad1aea2ba85
- Size of remote file:
- 5.24 kB
- SHA256:
- a6c8fe80385e5be329dea4d064bd671c42d0ee83b86dad219c3493751041b2e3
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