Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
common_voice
Generated from Trainer
hf-asr-leaderboard
robust-speech-event
sv
Instructions to use anantoj/wav2vec2-xls-r-300m-zh-CN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anantoj/wav2vec2-xls-r-300m-zh-CN with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="anantoj/wav2vec2-xls-r-300m-zh-CN")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("anantoj/wav2vec2-xls-r-300m-zh-CN") model = AutoModelForCTC.from_pretrained("anantoj/wav2vec2-xls-r-300m-zh-CN", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Training in progress, step 500
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