Instructions to use descript/dac_44khz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use descript/dac_44khz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="descript/dac_44khz")# Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("descript/dac_44khz") model = AutoModel.from_pretrained("descript/dac_44khz", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- config.json +2 -0
config.json
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"DacModel"
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],
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"codebook_dim": 8,
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"codebook_size": 1024,
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"decoder_hidden_size": 1536,
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"downsampling_ratios": [
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2,
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"DacModel"
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],
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"codebook_dim": 8,
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"codebook_loss_weight": 1.0,
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"codebook_size": 1024,
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"commitment_loss_weight": 0.25,
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"decoder_hidden_size": 1536,
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"downsampling_ratios": [
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2,
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