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:
- 3336eb549e997ec76a9d288fc402c0a1f68071064494844d8a93e3702448c3b3
- Size of remote file:
- 144 kB
- SHA256:
- 23e228764bbf98b0c554e509d7d56d849c4499724cd57a75cd65c1fb8c7755e6
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