Instructions to use facebook/w2v-bert-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/w2v-bert-2.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/w2v-bert-2.0")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("facebook/w2v-bert-2.0") model = AutoModel.from_pretrained("facebook/w2v-bert-2.0") - Notebooks
- Google Colab
- Kaggle
Upload feature extractor
#9
by ylacombe - opened
- preprocessor_config.json +10 -0
preprocessor_config.json
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{
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"feature_extractor_type": "Wav2Vec2BERTFeatureExtractor",
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"feature_size": 80,
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"num_mel_bins": 80,
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"padding_side": "right",
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"padding_value": 1,
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"return_attention_mask": true,
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"sampling_rate": 16000,
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"stride": 2
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}
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