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:
- b01f73230dbc9a48cb9a44ce6a7eba86e7b2355a97631d5b23e670a8575ad562
- Size of remote file:
- 14.2 kB
- SHA256:
- d7a94955a0a320eafc7414411c2ee6b557c9219743c6206f5e0cbbdb28188f97
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