Instructions to use Abinaya/binary_classifier_filtering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Abinaya/binary_classifier_filtering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Abinaya/binary_classifier_filtering")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Abinaya/binary_classifier_filtering") model = AutoModelForSequenceClassification.from_pretrained("Abinaya/binary_classifier_filtering") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e1153c8030bdd3d8c88bb40992dc83314ed4a3e06c06cd5b32e9902c3a3af10
- Size of remote file:
- 3.45 kB
- SHA256:
- 74ab7ec70b796fff2e2790c3de80e6f1e945d9efff6d44f666c60eb23d321781
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