Automatic Speech Recognition
Transformers
PyTorch
Abkhaz
wav2vec2
common_voice
Generated from Trainer
Instructions to use pablouribe/xls-r-ab-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pablouribe/xls-r-ab-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pablouribe/xls-r-ab-test")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("pablouribe/xls-r-ab-test") model = AutoModelForCTC.from_pretrained("pablouribe/xls-r-ab-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 308f428f3fd647886ae1e912f8c183a65f45ef36118eb240756add151f550816
- Size of remote file:
- 2.99 kB
- SHA256:
- 000a8989f3f1f80395388a4ce75cb850f8e9d13c03d8821740ea144b8c63e8af
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