Instructions to use ryota-komatsu/SylReg-Decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ryota-komatsu/SylReg-Decoder with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ryota-komatsu/SylReg-Decoder", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload FlowMatchingWithBigVGan
Browse files- config.json +5 -2
- model.safetensors +1 -1
config.json
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"num_hidden_layers": 4,
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"num_mel_bins": 80,
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"predict_duration": true,
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"rope_parameters":
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"rope_theta": 10000.0,
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"std": 2.2615,
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"vocab_size": 8192
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},
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"model_type": "flow_matching_with_bigvgan",
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"transformers_version": "
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"vocoder_config": {
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"_name_or_path": "models/bigvgan",
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"activation": "snakebeta",
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"num_hidden_layers": 4,
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"num_mel_bins": 80,
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"predict_duration": true,
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"rope_parameters": {
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"rope_theta": 10000.0,
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"rope_type": "default"
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},
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"rope_theta": 10000.0,
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"std": 2.2615,
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"vocab_size": 8192
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},
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"model_type": "flow_matching_with_bigvgan",
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"transformers_version": "5.8.0.dev0",
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"vocoder_config": {
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"_name_or_path": "models/bigvgan",
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"activation": "snakebeta",
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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 303014036
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd2c58c0efcb7cc1f42cb715bb0f190112f2e2ef3a40f365c8e43ead42026a68
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size 303014036
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