Instructions to use van-ng/intent_classify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use van-ng/intent_classify with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="van-ng/intent_classify")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("van-ng/intent_classify") model = AutoModelForAudioClassification.from_pretrained("van-ng/intent_classify") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 776ffc2ba775b7f9dd8f83c3cb356c6caae7b4d1082a093ca31cce3d120c1275
- Size of remote file:
- 4.47 kB
- SHA256:
- 614722a1e41428a1a74b5518976cd146831354e8c0a9dd33cd4a5ddb3b6a8d12
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