Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Abkhaz
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use hf-test/xls-r-ab-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-test/xls-r-ab-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hf-test/xls-r-ab-test")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hf-test/xls-r-ab-test") model = AutoModelForCTC.from_pretrained("hf-test/xls-r-ab-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93b29f132ec536294c0dcf5a463afd8193a148d63a42abcbfc781b6e2fb51764
- Size of remote file:
- 2.86 kB
- SHA256:
- 8c1f8acc5618841035918d237aad5f0ce6e2185ca9c71802238520f131bf3c62
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