huggingfacess
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Upload folder using huggingface_hub
Browse files- .gitattributes +3 -0
- F5_Decode.onnx +3 -0
- F5_Decode.ort +3 -0
- F5_Preprocess.onnx +3 -0
- F5_Preprocess.ort +3 -0
- F5_Transformer.onnx +3 -0
- F5_Transformer.ort +3 -0
- README.md +17 -0
- config.json +25 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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F5_Decode.ort filter=lfs diff=lfs merge=lfs -text
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F5_Preprocess.ort filter=lfs diff=lfs merge=lfs -text
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F5_Transformer.ort filter=lfs diff=lfs merge=lfs -text
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F5_Decode.onnx
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version https://git-lfs.github.com/spec/v1
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size 30238094
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F5_Decode.ort
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version https://git-lfs.github.com/spec/v1
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size 20048928
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F5_Preprocess.onnx
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version https://git-lfs.github.com/spec/v1
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size 16995534
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F5_Preprocess.ort
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version https://git-lfs.github.com/spec/v1
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size 19448408
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F5_Transformer.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:ccaa1859878947c346066337160ea572ffb790c7fb608247e5858d709dedc01b
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size 664350039
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F5_Transformer.ort
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version https://git-lfs.github.com/spec/v1
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oid sha256:e1a60a98cc8f93c4a75be7cd0b666bb1a4662242788d0ba825249a27df974d25
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size 1327835528
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README.md
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Download [CPU](https://huggingface.co/SWivid/F5-TTS/tree/main/F5TTS_Base) or [GPU](https://huggingface.co/SWivid/E2-TTS/tree/main/E2TTS_Base) and place under model/
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```
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model/
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F5-TTS-ONNX/
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F5_Preprocess.ort
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F5_Transformer.ort
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F5_Decode.ort
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```
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Inference with gpu option
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```
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model/
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F5-TTS-ONNX/
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F5_Preprocess.onnx
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F5_Transformer.onnx
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F5_Decode.onnx
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```
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ONNX Github: https://github.com/DakeQQ/F5-TTS-ONNX
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config.json
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{
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"architectures": [
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"BertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"directionality": "bidi",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"type_vocab_size": 2,
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"vocab_size": 21128
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}
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