Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
Spanish
English
speech_to_text
audio
speech-translation
Instructions to use facebook/s2t-small-covost2-es-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-es-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-es-en-st")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("facebook/s2t-small-covost2-es-en-st") model = AutoModelForMultimodalLM.from_pretrained("facebook/s2t-small-covost2-es-en-st") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc7d51c46d47580132d653b9cec68040f9fa2733d2170c5e66e07237fec7fdaa
- Size of remote file:
- 109 MB
- SHA256:
- 1f3385fb8f7421b9ec002afdbc0ff97dc66f3d76d728df36130b703b67868ed2
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