Automatic Speech Recognition
Transformers
PyTorch
Romanian
wav2vec2
Generated from Trainer
hf-asr-leaderboard
mozilla-foundation/common_voice_7_0
robust-speech-event
Eval Results (legacy)
Instructions to use ubamba98/wav2vec2-xls-r-1b-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ubamba98/wav2vec2-xls-r-1b-ro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ubamba98/wav2vec2-xls-r-1b-ro")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ubamba98/wav2vec2-xls-r-1b-ro") model = AutoModelForCTC.from_pretrained("ubamba98/wav2vec2-xls-r-1b-ro") - Notebooks
- Google Colab
- Kaggle
Ctrl+K