Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
Catalan
English
speech_to_text
audio
speech-translation
Instructions to use facebook/s2t-small-covost2-ca-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-ca-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-ca-en-st")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("facebook/s2t-small-covost2-ca-en-st") model = AutoModelForSpeechSeq2Seq.from_pretrained("facebook/s2t-small-covost2-ca-en-st", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f75702c16c22d60d9641484863b63aa7cdd0f2e3cdf5463bb23acaee7cb01c5c
- Size of remote file:
- 108 MB
- SHA256:
- 38721402333fe35888f09a0c1b45dd3005d099fc12e96f5f0060786257a02497
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