Instructions to use ronit33/intent-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ronit33/intent-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ronit33/intent-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ronit33/intent-classifier") model = AutoModelForSequenceClassification.from_pretrained("ronit33/intent-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8dbaeeff6e400f43de0dd516a7b22c119a4cfc1a2b82e24e3a1b3d7b5d2032c
- Size of remote file:
- 557 MB
- SHA256:
- ee50027dbdd8ef0d7be366649003582b005ee1b86dae41dc1aa6068ed7f5fd6c
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