Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Abkhaz
wav2vec2
Generated from Trainer
hf-asr-leaderboard
mozilla-foundation/common_voice_7_0
robust-speech-event
Instructions to use cahya/xls-r-ab-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cahya/xls-r-ab-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cahya/xls-r-ab-test")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("cahya/xls-r-ab-test") model = AutoModelForCTC.from_pretrained("cahya/xls-r-ab-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e132903f4478f0edfcd78a0b9fed88d4ee45785ee72e39f550c720f3c0cd4b7
- Size of remote file:
- 144 kB
- SHA256:
- f1bd6b09823de9f4e24bcb9a3a5d855f83021ecccccebb8406459ad47147789b
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