Instructions to use DL-Project/hatespeech_ast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DL-Project/hatespeech_ast with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="DL-Project/hatespeech_ast")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("DL-Project/hatespeech_ast") model = AutoModelForAudioClassification.from_pretrained("DL-Project/hatespeech_ast") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a50047397cc7c109851083ec39bc738ab1bda8b2cc586512d010eaa980515f44
- Size of remote file:
- 4.98 kB
- SHA256:
- 3fec7b3c84a89c15abd9fcd16f8373c3e3ef112248133d40cb53181a269ae40c
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