Instructions to use Denn231/internal_clf_v_0.769 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denn231/internal_clf_v_0.769 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denn231/internal_clf_v_0.769")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denn231/internal_clf_v_0.769") model = AutoModelForSequenceClassification.from_pretrained("Denn231/internal_clf_v_0.769") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- af173f4bc777c9312d6907d006461e810fc6276de85bae92c08a3697852cee58
- Size of remote file:
- 5.37 kB
- SHA256:
- 90b2ffbe2d61e2f623939536f180240e0a1f9e0c7639581b7b28bdb517b86886
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