Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
German
English
speech_to_text
audio
speech-translation
Instructions to use facebook/s2t-small-covost2-de-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-de-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-de-en-st")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("facebook/s2t-small-covost2-de-en-st") model = AutoModelForSpeechSeq2Seq.from_pretrained("facebook/s2t-small-covost2-de-en-st", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ea215f56ebc4dbc8f9320e1649d2df3d1c6adbf803979a69ae12bddb6579411
- Size of remote file:
- 108 MB
- SHA256:
- d9c37134bd61e3dcf4ca533173f76e4ce90273760f338c5d0e6da2b99d09ec06
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