Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Japanese
wav2vec2
common-voice
hf-asr-leaderboard
robust-speech-event
Eval Results (legacy)
Instructions to use vutankiet2901/wav2vec2-xls-r-1b-ja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vutankiet2901/wav2vec2-xls-r-1b-ja with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="vutankiet2901/wav2vec2-xls-r-1b-ja")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("vutankiet2901/wav2vec2-xls-r-1b-ja") model = AutoModelForCTC.from_pretrained("vutankiet2901/wav2vec2-xls-r-1b-ja", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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