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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("microsoft/speecht5_asr") model = AutoModelForSpeechSeq2Seq.from_pretrained("microsoft/speecht5_asr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model
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Upload README.md
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Upload SpeechT5ForSpeechToText
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Upload processor
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initial commit
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