Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
English
Italian
speech_to_text
audio
speech-translation
Instructions to use facebook/s2t-small-mustc-en-it-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-it-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-it-st")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("facebook/s2t-small-mustc-en-it-st") model = AutoModelForSpeechSeq2Seq.from_pretrained("facebook/s2t-small-mustc-en-it-st", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 98937f5da7751bd600dd9c08d64aab74a2eb9b4469096e563910f2a230613555
- Size of remote file:
- 124 MB
- SHA256:
- 27513ce955bd0f8b4aa595528603a675f935070193ee49ab5ca4f3ba1d7faf73
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