Instructions to use quantor-project/speech-act-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use quantor-project/speech-act-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="quantor-project/speech-act-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("quantor-project/speech-act-classification") model = AutoModelForSequenceClassification.from_pretrained("quantor-project/speech-act-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df7cc47a988cb050e430c3f7b45a9c10c75e6cbbe3791a1a869a346ee9ba3a4d
- Size of remote file:
- 499 MB
- SHA256:
- d21eab28b174abc698aed193f829ca70802c077b493c8b13b430cd15ac9944ae
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