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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91fb59ea81d5c4e630e2f1aed9c48a26b60a2c07f3c7d07ed9153f8443f062f7
- Size of remote file:
- 1.26 GB
- SHA256:
- 8b77c8734edfb2cb8948594c03e74d6523834c6dca8c577c6ccbd3b45dec3fa9
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