Instructions to use uhhlt/binary-compqa-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uhhlt/binary-compqa-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="uhhlt/binary-compqa-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("uhhlt/binary-compqa-classifier") model = AutoModelForSequenceClassification.from_pretrained("uhhlt/binary-compqa-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1336448605905ec98c27a07568fcd710798f8a781e35589f9fa7590cf3a5f614
- Size of remote file:
- 268 MB
- SHA256:
- a65a78a706b1ce5825d2a656e045f2ad6cd8bfd4512c12183397328189a0058a
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