Instructions to use NOVA-vision-language/task-intent-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NOVA-vision-language/task-intent-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NOVA-vision-language/task-intent-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NOVA-vision-language/task-intent-detector") model = AutoModelForSequenceClassification.from_pretrained("NOVA-vision-language/task-intent-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 62771b63d8122ca91df92c6416abee513ea223c8e5f76f7fe51f062dd51f338e
- Size of remote file:
- 1.06 kB
- SHA256:
- 0d828e0cbf0b47fe0c156ab9e555a50f034d4d1b4b6022ee3cc70f880bd4fd91
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