Instructions to use jypucca/tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jypucca/tmp with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("distilbert/distilgpt2") model = PeftModel.from_pretrained(base_model, "jypucca/tmp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e719ccd147c36915bc278ef0a9925bd3f4aad7738e6f6f7c888cd8035728e665
- Size of remote file:
- 1.18 MB
- SHA256:
- 69861cea848ec625e446ade9911845cfb0de146f7d028f2d7d32099580d57552
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