Instructions to use facebook/mms-lid-4017 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-lid-4017 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="facebook/mms-lid-4017")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("facebook/mms-lid-4017") model = AutoModelForAudioClassification.from_pretrained("facebook/mms-lid-4017") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b706fff8d793e4a69027f694d59e7c12976138c4c9cd498bb5d91b666a47fcb
- Size of remote file:
- 3.88 GB
- SHA256:
- 669c8b6ca5babc967a9fd09af9fc13fdad7079b7de028630b115862bca61988e
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