Automatic Speech Recognition
Transformers
PyTorch
JAX
English
wav2vec2
audio
speech
Eval Results (legacy)
Instructions to use boris/xlsr-en-punctuation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boris/xlsr-en-punctuation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="boris/xlsr-en-punctuation")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("boris/xlsr-en-punctuation") model = AutoModelForCTC.from_pretrained("boris/xlsr-en-punctuation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a109499229f90029fc5831c838deef1cf5e61ba3d07f7ec4b66023ae1af3adb
- Size of remote file:
- 1.26 GB
- SHA256:
- 8b63a20fd618d66432feab255798948a8451501791847b1df2363a3fd78437ff
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