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:
- af784dc0bc44e88de351d8f33e94db29a98baa73ccd739e00c0c28e25f9046a8
- Size of remote file:
- 151 MB
- SHA256:
- d1c92d9836425f22efd03773efc44d10e47267f92f344a1dc9ed2a7890f890ad
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