Instructions to use Maxim01/intent-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maxim01/intent-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Maxim01/intent-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Maxim01/intent-classification") model = AutoModelForSequenceClassification.from_pretrained("Maxim01/intent-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02e0098190b05d81727802a3bfc0a2d02993fd913a46a6299cf10f6929340933
- Size of remote file:
- 1.11 GB
- SHA256:
- 4a2879ff36ec21649b323baed0fbb95d0913df3fd1f4464028dae53c95192352
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