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") - Inference
- Notebooks
- Google Colab
- Kaggle
Upload model
Browse files- config.json +1 -1
- model.safetensors +2 -2
config.json
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"model_type": "dac",
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"n_codebooks": 9,
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"quantizer_dropout": 0.0,
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"sampling_rate":
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"torch_dtype": "float32",
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"transformers_version": "4.42.0.dev0",
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"upsampling_ratios": [
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"model_type": "dac",
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"n_codebooks": 9,
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"quantizer_dropout": 0.0,
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"sampling_rate": 16000,
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"torch_dtype": "float32",
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"transformers_version": "4.42.0.dev0",
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"upsampling_ratios": [
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:6128ebff483a41422b0164d079a3773b0d8d82e64c4293d775994cbf8baf913a
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size 306507276
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