Instructions to use pingkeest/basic_text_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pingkeest/basic_text_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, "pingkeest/basic_text_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c97864b5540a57bf445ba42ab1c310a017e1bbf9bf316040fba9959497864934
- Size of remote file:
- 13.7 MB
- SHA256:
- 16740d1788e4bd2b6add4c8cbde7dfc879856172521811b2501c2b403e7def53
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