Automatic Speech Recognition
Transformers
PyTorch
English
data2vec-audio
speech
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use patrickvonplaten/data2vec-audio-base-960h-4-gram with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/data2vec-audio-base-960h-4-gram with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="patrickvonplaten/data2vec-audio-base-960h-4-gram")# Load model directly from transformers import AutoTokenizer, AutoModelForCTC tokenizer = AutoTokenizer.from_pretrained("patrickvonplaten/data2vec-audio-base-960h-4-gram") model = AutoModelForCTC.from_pretrained("patrickvonplaten/data2vec-audio-base-960h-4-gram") - Notebooks
- Google Colab
- Kaggle
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