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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6f4927e64ec58f5274f7f356780f343608a32f4533e9c6eb72811f44c36bccc
- Size of remote file:
- 2.99 kB
- SHA256:
- 1f2f175d072062b719da3464b6fb6d166ba255f40e7adfec1b069e6d0c4b8aa4
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