Instructions to use facebook/wav2vec2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("facebook/wav2vec2-base") model = AutoModelForPreTraining.from_pretrained("facebook/wav2vec2-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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1
Parent(s): 1bac60e
Update config.json
Browse files- config.json +1 -0
config.json
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.1,
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"mask_channel_length": 10,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"gradient_checkpointing": true,
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"layer_norm_eps": 1e-05,
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"layerdrop": 0.1,
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"mask_channel_length": 10,
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