Instructions to use titanhacker/sequence_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use titanhacker/sequence_classification with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "titanhacker/sequence_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 491c87f6be0aa89eba893750d5975d50fcecc2495f4e4c93b76fd4d61662db8e
- Size of remote file:
- 13.7 MB
- SHA256:
- 5030e31b0ae178f75170a840eb7750372d1ac0ba78103948c4f5a1040377508a
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