Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
English
Estonian
speech_to_text
audio
speech-translation
Instructions to use facebook/s2t-small-covost2-en-et-st with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/s2t-small-covost2-en-et-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-en-et-st")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("facebook/s2t-small-covost2-en-et-st") model = AutoModelForMultimodalLM.from_pretrained("facebook/s2t-small-covost2-en-et-st") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c5ca17f27dba6f1c7a54f7b3aa69ff494581101da7c9f1b9617d9b25445187c
- Size of remote file:
- 109 MB
- SHA256:
- fdc26f1bd1fa8561188b4f255da1c0b32a801544daeeacaaa5641635ec0ff5f2
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