Instructions to use veract/veract-11-biov3.en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use veract/veract-11-biov3.en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="veract/veract-11-biov3.en")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("veract/veract-11-biov3.en") model = AutoModelForSpeechSeq2Seq.from_pretrained("veract/veract-11-biov3.en") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f54d41e0167f92853b04a282243645cd2d6a98a4e6d0f0309a906fc59c1b01b6
- Size of remote file:
- 151 MB
- SHA256:
- 4735bc7df2da975cd268d79901fd71d1c337a7062ee82a1bfced14559da81a3b
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