Instructions to use microsoft/unispeech-sat-base-100h-libri-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/unispeech-sat-base-100h-libri-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="microsoft/unispeech-sat-base-100h-libri-ft")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("microsoft/unispeech-sat-base-100h-libri-ft") model = AutoModelForCTC.from_pretrained("microsoft/unispeech-sat-base-100h-libri-ft") - Notebooks
- Google Colab
- Kaggle
Upload README.md
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README.md
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- automatic-speech-recognition
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license: apache-2.0
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widget:
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src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
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src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
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---
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- automatic-speech-recognition
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license: apache-2.0
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widget:
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- example_title: Librispeech sample 1
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src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
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- example_title: Librispeech sample 2
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src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
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