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:
- 455bc939915ed4419b62630cfeece566bd51de6cbca5bb51007bab0d141e65a7
- Size of remote file:
- 4.73 kB
- SHA256:
- 7186e775672d353de9df344b9d263e991ad84de151554b557ea5e9a7a3da9107
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