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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abf07eb70df2a84513ce5e09d0923546609a69ae4e53eb5175cc58246971246c
- Size of remote file:
- 144 kB
- SHA256:
- 0c3252ae97d76a605d67a802e32d2f77a5994f2cac678ce9c8182ec7d44c2693
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