Instructions to use learn-abc/magicSupport-intent-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use learn-abc/magicSupport-intent-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="learn-abc/magicSupport-intent-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("learn-abc/magicSupport-intent-classifier") model = AutoModelForSequenceClassification.from_pretrained("learn-abc/magicSupport-intent-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 054664a2025c1c177d213453200eb6bcc0321da123295c6547799a7e83135b9f
- Size of remote file:
- 438 MB
- SHA256:
- 3e10e59330cf2800350abf09ce08a9ff9942251d55499deb00b08bb34b758c03
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