Instructions to use kvsr/peft-adapter-sequence-classification-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kvsr/peft-adapter-sequence-classification-binary with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("distilbert-base-uncased") model = PeftModel.from_pretrained(base_model, "kvsr/peft-adapter-sequence-classification-binary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99750b503adfc61a1bbd643a477342f6d9f58c3f9be8f159fb5e5fdda3c23b63
- Size of remote file:
- 4.74 MB
- SHA256:
- cce6bd70e9b79f1731f50ae2ca0ccb920ae24b424cb4ea60f897e60bea6e4e61
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