Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
Safetensors
English
speech_to_text
audio
Instructions to use facebook/s2t-medium-librispeech-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/s2t-medium-librispeech-asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/s2t-medium-librispeech-asr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("facebook/s2t-medium-librispeech-asr") model = AutoModelForSpeechSeq2Seq.from_pretrained("facebook/s2t-medium-librispeech-asr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f71fc44127cc43d0c5d101f9ef77417e558aeee5663df6922770b922cc6eb1a7
- Size of remote file:
- 285 MB
- SHA256:
- 57cc7b2911f0849f3d63bedffb8837e68ce407a2b2b7843c54ec0dae7037813f
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