Automatic Speech Recognition
Transformers
PyTorch
Czech
wav2vec2
common_voice
Generated from Trainer
hf-asr-leaderboard
robust-speech-event
xlsr-fine-tuning-week
Eval Results (legacy)
Instructions to use comodoro/wav2vec2-xls-r-300m-cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use comodoro/wav2vec2-xls-r-300m-cs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="comodoro/wav2vec2-xls-r-300m-cs")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("comodoro/wav2vec2-xls-r-300m-cs") model = AutoModelForCTC.from_pretrained("comodoro/wav2vec2-xls-r-300m-cs") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot