Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
English
Spanish
speech_to_text
audio
speech-translation
Instructions to use facebook/s2t-small-mustc-en-es-st with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/s2t-small-mustc-en-es-st with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/s2t-small-mustc-en-es-st")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("facebook/s2t-small-mustc-en-es-st") model = AutoModelForSpeechSeq2Seq.from_pretrained("facebook/s2t-small-mustc-en-es-st") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7b55b4ee19c96c5a77dd2a5d3fe7d0dd3c87f5f5316f6b1ceeb974efff345bae
- Size of remote file:
- 382 kB
- SHA256:
- 3abb8e44dfaff10d2750873439a5cfd8e44f45dfa26563f191573fc71f16c7d3
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