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:
- 1ef79a55734740d8523fbffb9388ca0e7f4210fbba4ea29d799d383124b045fd
- Size of remote file:
- 144 kB
- SHA256:
- 77656be03069b8daa203d5383c4936491871f7002ddf4732cd7d239ad24eef43
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