Instructions to use Rafeq/cry_detection_and_classification2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rafeq/cry_detection_and_classification2 with Transformers:
# Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("Rafeq/cry_detection_and_classification2") model = Wav2Vec2ForSpeechClassification.from_pretrained("Rafeq/cry_detection_and_classification2") - Notebooks
- Google Colab
- Kaggle
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# Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("Rafeq/cry_detection_and_classification2") model = Wav2Vec2ForSpeechClassification.from_pretrained("Rafeq/cry_detection_and_classification2")