Automatic Speech Recognition
Transformers
PyTorch
Safetensors
English
speecht5
audio
speech
speech2text
ASR
asr
ASR-punctuation-sensitive
encoder-decoder-for-asr
Instructions to use seba3y/speecht5-asr-punctuation-sensitive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seba3y/speecht5-asr-punctuation-sensitive with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="seba3y/speecht5-asr-punctuation-sensitive")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("seba3y/speecht5-asr-punctuation-sensitive") model = AutoModelForSpeechSeq2Seq.from_pretrained("seba3y/speecht5-asr-punctuation-sensitive") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8a8be6ab37009131bac5f0b936b23d6deb931b9a6f40703ef67e8ba8bb6fbd1
- Size of remote file:
- 620 MB
- SHA256:
- 9c8839285f894735317705d3bcef0970e56a53722034251b1820c77523ddd2a5
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