Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
speech_to_text
audio
speech-translation
Instructions to use facebook/s2t-medium-mustc-multilingual-st with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/s2t-medium-mustc-multilingual-st with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/s2t-medium-mustc-multilingual-st")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("facebook/s2t-medium-mustc-multilingual-st") model = AutoModelForSpeechSeq2Seq.from_pretrained("facebook/s2t-medium-mustc-multilingual-st", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fe8ec968454208402152c2be166b6e5b05fa6db6d7eb69c125a97ca307dbb12
- Size of remote file:
- 305 MB
- SHA256:
- c8e8e048f2b01c9a988e8d1b4e8a9538505f75b3dc0a4d6a1b7b956b75da0001
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