Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
ga-IE
robust-speech-event
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use jcmc/wav2vec-cv7-1b-ir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jcmc/wav2vec-cv7-1b-ir with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jcmc/wav2vec-cv7-1b-ir")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("jcmc/wav2vec-cv7-1b-ir") model = AutoModelForCTC.from_pretrained("jcmc/wav2vec-cv7-1b-ir") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!