Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
Catalan
English
speech_to_text
audio
speech-translation
Instructions to use facebook/s2t-small-covost2-ca-en-st with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/s2t-small-covost2-ca-en-st with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/s2t-small-covost2-ca-en-st")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("facebook/s2t-small-covost2-ca-en-st") model = AutoModelForSpeechSeq2Seq.from_pretrained("facebook/s2t-small-covost2-ca-en-st", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload README.md
Browse files
README.md
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license: mit
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pipeline_tag: automatic-speech-recognition
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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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license: mit
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pipeline_tag: automatic-speech-recognition
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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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