Instructions to use TinyModels/prompt-intent-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TinyModels/prompt-intent-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TinyModels/prompt-intent-mini")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TinyModels/prompt-intent-mini") model = AutoModelForSequenceClassification.from_pretrained("TinyModels/prompt-intent-mini") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37ed9ea1aefd0c44bc9a027d42f289ad28df21a3cb750eb53b0ac7cb9f12e4d7
- Size of remote file:
- 5.14 kB
- SHA256:
- 811bab6d49b3cbb03e68f25a1a8c59fdf02f270705d81788f3f27a6dae27cdf2
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