Automatic Speech Recognition
Transformers
PyTorch
Abkhaz
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use deepdml/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepdml/output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="deepdml/output")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("deepdml/output") model = AutoModelForCTC.from_pretrained("deepdml/output") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 998bf18c0eb79aa09674a963bdd998f31359b5376aee2adb32937e92fb0fa55a
- Size of remote file:
- 1.26 GB
- SHA256:
- 648bf7e085cf9e5eb07742c905942421094e49ec36b547f7300acb77984a389f
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