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