Instructions to use lsnoo/temporal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lsnoo/temporal with Transformers:
# Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("lsnoo/temporal") model = Wav2Vec2ForSpeechClassification.from_pretrained("lsnoo/temporal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 06890cd991507b610e02d03e8bda395ebc187a46979558dea2c92effd0f048de
- Size of remote file:
- 1.27 GB
- SHA256:
- 2d27e4dc9e90e54786c5a00737bbe81fc2144816f6b57706f0ee3272044f9726
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