Instructions to use facebook/encodec_32khz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/encodec_32khz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="facebook/encodec_32khz")# pip install -U transformers accelerate # Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("facebook/encodec_32khz") model = AutoModel.from_pretrained("facebook/encodec_32khz", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 234 Bytes
4a85b2d | 1 2 3 4 5 6 7 8 9 10 11 | {
"chunk_length_s": null,
"feature_extractor_type": "EncodecFeatureExtractor",
"feature_size": 1,
"overlap": null,
"padding_side": "right",
"padding_value": 0.0,
"return_attention_mask": true,
"sampling_rate": 32000
}
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