Instructions to use ramesh070/mms-tamil-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ramesh070/mms-tamil-binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="ramesh070/mms-tamil-binary")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("ramesh070/mms-tamil-binary") model = AutoModelForAudioClassification.from_pretrained("ramesh070/mms-tamil-binary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c759efcc3db273000f6494816460a3c478f5bd50e95921c4c11a5f89bc64c9c9
- Size of remote file:
- 5.78 kB
- SHA256:
- aefd7a6891c8bc0c748cfbbd21f368160ff175cd72d20b83a9a75013cce25c33
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