Instructions to use blackhole33/wev2vec-commonVoice_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use blackhole33/wev2vec-commonVoice_v1 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("blackhole33/wev2vec-commonVoice_v1", set_active=True) - Notebooks
- Google Colab
- Kaggle
File size: 231 Bytes
ed66e1d | 1 2 3 4 5 6 7 8 9 10 11 | {
"feature_extractor_type": "SeamlessM4TFeatureExtractor",
"feature_size": 80,
"num_mel_bins": 80,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true,
"sampling_rate": 16000,
"stride": 2
}
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