15af441cba
I have found that half-precision has little effect on speech synthesis quality and, depending on the environment, can reduce file size and memory usage by half, so I have decided to use FP16.
27 lines
900 B
JSON
27 lines
900 B
JSON
{
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"deberta-v2-large-japanese-char-wwm": {
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"repo_id": "ku-nlp/deberta-v2-large-japanese-char-wwm",
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"files": ["pytorch_model.bin"]
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},
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"deberta-v2-large-japanese-char-wwm-onnx": {
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"repo_id": "tsukumijima/deberta-v2-large-japanese-char-wwm-onnx",
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"files": ["model_fp16.onnx"]
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},
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"chinese-roberta-wwm-ext-large": {
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"repo_id": "hfl/chinese-roberta-wwm-ext-large",
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"files": ["pytorch_model.bin"]
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},
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"chinese-roberta-wwm-ext-large-onnx": {
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"repo_id": "tsukumijima/chinese-roberta-wwm-ext-large-onnx",
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"files": ["model_fp16.onnx"]
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},
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"deberta-v3-large": {
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"repo_id": "microsoft/deberta-v3-large",
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"files": ["spm.model", "pytorch_model.bin"]
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},
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"deberta-v3-large-onnx": {
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"repo_id": "tsukumijima/deberta-v3-large-onnx",
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"files": ["spm.model", "model_fp16.onnx"]
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}
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}
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