Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
Safetensors
English
wav2vec2
audio
hf-asr-leaderboard
Eval Results (legacy)
Eval Results
Instructions to use facebook/wav2vec2-base-960h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-base-960h with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-base-960h")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("facebook/wav2vec2-base-960h") model = AutoModelForCTC.from_pretrained("facebook/wav2vec2-base-960h", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#7)
- Adding `safetensors` variant of this model (b593867a0567fe9d5be38a6746b2932feaf52894) Co-authored-by: Nicolas Patry <Narsil@users.noreply.huggingface.co>22aad52
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Remove `soundfile` import (#2)
- Remove `soundfile` import (09b10d0c3aceb1f0cab01de3dc6216e11ab5642e) Co-authored-by: Sanchit Gandhi <sanchit-gandhi@users.noreply.huggingface.co>7061117
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