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:
- 4dc82f60ce6b29d9a35208f0d2bdecdcf961d82cfe1d43b92d72506ab8d06829
- Size of remote file:
- 238 kB
- SHA256:
- 7fcc48f3e225f627b1641db410ceb0c8649bd2b0c982e150b03f8be3728ab560
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