Instructions to use microsoft/speecht5_asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/speecht5_asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="microsoft/speecht5_asr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("microsoft/speecht5_asr") model = AutoModelForSpeechSeq2Seq.from_pretrained("microsoft/speecht5_asr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf6a387496eec45f0e8264b1c2308f5fff7f1e6d23ceffd6009cde40d74bada6
- Size of remote file:
- 606 MB
- SHA256:
- c981c2243ff3dcdf3700446a58d9cb809bf0bcb65dc5fee3a94ee830db363cc7
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