Instructions to use louis-martyr/multi-intent-detection-deBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use louis-martyr/multi-intent-detection-deBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="louis-martyr/multi-intent-detection-deBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("louis-martyr/multi-intent-detection-deBERTa") model = AutoModelForSequenceClassification.from_pretrained("louis-martyr/multi-intent-detection-deBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a286b9fbdfbe3fad02d57a69bf72d4bff6d0dfeaf04f2846ef217dfb8136389
- Size of remote file:
- 557 MB
- SHA256:
- eb2431061ff6a0ea9e4ddbb27ff3f52c7d124cab4ad974e99f29da89c84bd02d
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