Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
kz
wav2vec2
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use BilalS96/commonvoice-wav2vec2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BilalS96/commonvoice-wav2vec2-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="BilalS96/commonvoice-wav2vec2-base")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("BilalS96/commonvoice-wav2vec2-base") model = AutoModelForCTC.from_pretrained("BilalS96/commonvoice-wav2vec2-base") - Notebooks
- Google Colab
- Kaggle
Ctrl+K