Instructions to use Denn231/external_clf_v_0.7696 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Denn231/external_clf_v_0.7696 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Denn231/external_clf_v_0.7696")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Denn231/external_clf_v_0.7696") model = AutoModelForSequenceClassification.from_pretrained("Denn231/external_clf_v_0.7696") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 405bf8dd06b0c65fe399d690a474104031e601b86004cb610889d9d1150de613
- Size of remote file:
- 5.37 kB
- SHA256:
- acc0bc10242d9176bddbe60eca99f4ceeb50bad253c4248a1b976cb81a1805b6
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