Automatic Speech Recognition
Transformers
PyTorch
Abkhaz
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use Mofe/speech-sprint-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mofe/speech-sprint-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mofe/speech-sprint-test")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Mofe/speech-sprint-test") model = AutoModelForCTC.from_pretrained("Mofe/speech-sprint-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92c29e6c2345f5f90d3fa7e1b717a7f40a8440ec7f1e21ca3087a3d9d9bf51de
- Size of remote file:
- 2.99 kB
- SHA256:
- 6884a1bbd28ca4423eb7d9c470244c2aba6cebc92ffe5d302a7514a2ddf1fb01
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