Upload 19 files
Browse files- added_tokens.json +4 -0
- config.json +91 -0
- generation_config.json +9 -0
- openvino_decoder_model.bin +3 -0
- openvino_decoder_model.xml +0 -0
- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +147 -0
- openvino_encoder_model.bin +3 -0
- openvino_encoder_model.xml +0 -0
- openvino_postnet.bin +3 -0
- openvino_postnet.xml +674 -0
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +380 -0
- openvino_vocoder.bin +3 -0
- openvino_vocoder.xml +0 -0
- preprocessor_config.json +19 -0
- special_tokens_map.json +13 -0
- spm_char.model +3 -0
- tokenizer_config.json +64 -0
added_tokens.json
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{
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"<ctc_blank>": 80,
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"<mask>": 79
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}
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config.json
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{
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"activation_dropout": 0.1,
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"apply_spec_augment": true,
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"architectures": [
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"SpeechT5ForTextToSpeech"
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],
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"attention_dropout": 0.1,
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"bos_token_id": 0,
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"conv_bias": false,
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"conv_dim": [
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512,
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512,
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512,
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512,
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512,
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512,
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512
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],
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"conv_kernel": [
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10,
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],
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"conv_stride": [
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5,
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],
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"decoder_attention_heads": 12,
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"decoder_ffn_dim": 3072,
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"decoder_layerdrop": 0.1,
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"decoder_layers": 6,
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"decoder_start_token_id": 2,
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"encoder_attention_heads": 12,
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"encoder_ffn_dim": 3072,
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"encoder_layerdrop": 0.1,
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"encoder_layers": 12,
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"encoder_max_relative_position": 160,
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"eos_token_id": 2,
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"feat_extract_activation": "gelu",
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"feat_extract_norm": "group",
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"feat_proj_dropout": 0.0,
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"guided_attention_loss_num_heads": 2,
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"guided_attention_loss_scale": 10.0,
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"guided_attention_loss_sigma": 0.4,
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"hidden_act": "gelu",
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"hidden_dropout": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"is_encoder_decoder": true,
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"layer_norm_eps": 1e-05,
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"mask_feature_length": 10,
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"mask_feature_min_masks": 0,
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"mask_feature_prob": 0.0,
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"mask_time_length": 10,
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"mask_time_min_masks": 2,
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"mask_time_prob": 0.05,
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"max_length": 1876,
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"max_speech_positions": 1876,
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"max_text_positions": 600,
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"model_type": "speecht5",
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"num_conv_pos_embedding_groups": 16,
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"num_conv_pos_embeddings": 128,
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"num_feat_extract_layers": 7,
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"num_mel_bins": 80,
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"pad_token_id": 1,
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"positional_dropout": 0.1,
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"reduction_factor": 2,
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"scale_embedding": false,
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"speaker_embedding_dim": 512,
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"speech_decoder_postnet_dropout": 0.5,
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"speech_decoder_postnet_kernel": 5,
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"speech_decoder_postnet_layers": 5,
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"speech_decoder_postnet_units": 256,
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"speech_decoder_prenet_dropout": 0.5,
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"speech_decoder_prenet_layers": 2,
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"speech_decoder_prenet_units": 256,
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"torch_dtype": "float32",
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"transformers_version": "4.52.4",
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"use_cache": true,
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"use_guided_attention_loss": true,
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"vocab_size": 81
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"eos_token_id": 2,
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"max_length": 1876,
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"pad_token_id": 1,
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"transformers_version": "4.52.4"
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}
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openvino_decoder_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:4ef7ec83da8cbd071694df76dd432dc7293a376990504e6ab14d0aeb867b1376
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size 238175084
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openvino_decoder_model.xml
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openvino_detokenizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b7e523a020fcd210e6f4f2349b37371c2b315f8e7f7f691be547a4109b6fe2d4
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size 238520
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openvino_detokenizer.xml
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<?xml version="1.0"?>
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<net name="detokenizer" version="11">
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<layers>
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<layer id="0" name="Parameter_67208" type="Parameter" version="opset1">
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<data shape="?,?" element_type="i64" />
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<output>
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<port id="0" precision="I64" names="Parameter_67208">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="1" name="Constant_67180" type="Const" version="opset1">
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<data element_type="u8" shape="238520" offset="0" size="238520" />
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<output>
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<port id="0" precision="U8">
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<dim>238520</dim>
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</port>
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</output>
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</layer>
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<layer id="2" name="Convert_67386" type="Convert" version="opset1">
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<data destination_type="i32" />
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<input>
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<port id="0" precision="I64">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="1" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="3" name="SentencepieceDetokenizer_67209" type="SentencepieceDetokenizer" version="extension">
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<input>
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<port id="0" precision="U8">
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<dim>238520</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="3" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="4" precision="U8">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="4" name="UTF8Validate_67210" type="UTF8Validate" version="extension">
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<data replace_mode="true" />
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="2" precision="U8">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="3" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="4" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="5" precision="U8">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="5" name="StringTensorPack_67211" type="StringTensorPack" version="opset15">
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="2" precision="U8">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="3" precision="STRING" names="string_output">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="6" name="Result_67212" type="Result" version="opset1" output_names="string_output">
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<input>
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<port id="0" precision="STRING">
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<dim>-1</dim>
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</port>
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</input>
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</layer>
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</layers>
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<edges>
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<edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
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<edge from-layer="1" from-port="0" to-layer="3" to-port="0" />
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<edge from-layer="2" from-port="1" to-layer="3" to-port="1" />
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<edge from-layer="3" from-port="2" to-layer="4" to-port="0" />
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<edge from-layer="3" from-port="3" to-layer="4" to-port="1" />
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<edge from-layer="3" from-port="4" to-layer="4" to-port="2" />
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<edge from-layer="4" from-port="3" to-layer="5" to-port="0" />
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<edge from-layer="4" from-port="4" to-layer="5" to-port="1" />
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<edge from-layer="4" from-port="5" to-layer="5" to-port="2" />
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<edge from-layer="5" from-port="3" to-layer="6" to-port="0" />
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</edges>
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<rt_info>
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<add_attention_mask value="True" />
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<add_prefix_space />
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124 |
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<add_special_tokens value="True" />
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125 |
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<bos_token_id value="0" />
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126 |
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<clean_up_tokenization_spaces value="False" />
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<detokenizer_input_type value="i64" />
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128 |
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<eos_token_id value="2" />
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129 |
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<handle_special_tokens_with_re value="False" />
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130 |
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<max_length />
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131 |
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<number_of_inputs value="1" />
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132 |
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<openvino_tokenizers_version value="2025.2.0.1-567-7885335c24b" />
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133 |
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<openvino_version value="2025.2.0-19140-c01cd93e24d-releases/2025/2" />
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134 |
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<original_tokenizer_class value="<class 'transformers.models.speecht5.tokenization_speecht5.SpeechT5Tokenizer'>" />
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135 |
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<pad_token_id value="1" />
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136 |
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<sentencepiece_version value="0.2.0" />
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137 |
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<skip_special_tokens value="True" />
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<streaming_detokenizer value="False" />
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139 |
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<tokenizer_output_type value="i64" />
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140 |
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<tokenizers_version value="0.21.2" />
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141 |
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<transformers_version value="4.52.4" />
|
142 |
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<use_max_padding value="False" />
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143 |
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<use_sentencepiece_backend value="False" />
|
144 |
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<utf8_replace_mode value="replace" />
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145 |
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<with_detokenizer value="True" />
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</rt_info>
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</net>
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openvino_encoder_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3afa2d6a7a5689a3484a23bd4865d341a623fa5b179daec1af16389850c947ac
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size 342398248
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openvino_encoder_model.xml
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openvino_postnet.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:efbf9ebdcfd6db466709837f69b09b1d5d07166e3105250d553e5d543f475e95
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size 4755828
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openvino_postnet.xml
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1 |
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|
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<framework value="pytorch" />
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<is_python_object value="True" />
|
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|
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<optimum_intel_version value="1.24.0" />
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<pytorch_version value="2.7.1" />
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<transformers_version value="4.52.4" />
|
672 |
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</optimum>
|
673 |
+
</rt_info>
|
674 |
+
</net>
|
openvino_tokenizer.bin
ADDED
@@ -0,0 +1,3 @@
|
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|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b50bf1d7b766607fa8b7ba49d1ff0712f1c11eb11308ca124a9d10dd7c6fe985
|
3 |
+
size 238556
|
openvino_tokenizer.xml
ADDED
@@ -0,0 +1,380 @@
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|
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|
|
1 |
+
<?xml version="1.0"?>
|
2 |
+
<net name="tokenizer" version="11">
|
3 |
+
<layers>
|
4 |
+
<layer id="0" name="string_input" type="Parameter" version="opset1">
|
5 |
+
<data shape="?" element_type="string" />
|
6 |
+
<output>
|
7 |
+
<port id="0" precision="STRING" names="string_input">
|
8 |
+
<dim>-1</dim>
|
9 |
+
</port>
|
10 |
+
</output>
|
11 |
+
</layer>
|
12 |
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<layer id="1" name="Constant_67183" type="Const" version="opset1">
|
13 |
+
<data element_type="i32" shape="" offset="0" size="4" />
|
14 |
+
<output>
|
15 |
+
<port id="0" precision="I32" />
|
16 |
+
</output>
|
17 |
+
</layer>
|
18 |
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<layer id="2" name="Constant_67179" type="Const" version="opset1">
|
19 |
+
<data element_type="u8" shape="238516" offset="4" size="238516" />
|
20 |
+
<output>
|
21 |
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<port id="0" precision="U8">
|
22 |
+
<dim>238516</dim>
|
23 |
+
</port>
|
24 |
+
</output>
|
25 |
+
</layer>
|
26 |
+
<layer id="3" name="SentencepieceTokenizer_67182" type="SentencepieceTokenizer" version="extension">
|
27 |
+
<data nbest_size="1" alpha="1" add_bos="false" add_eos="true" reverse="false" />
|
28 |
+
<input>
|
29 |
+
<port id="0" precision="U8">
|
30 |
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<dim>238516</dim>
|
31 |
+
</port>
|
32 |
+
<port id="1" precision="STRING">
|
33 |
+
<dim>-1</dim>
|
34 |
+
</port>
|
35 |
+
</input>
|
36 |
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<output>
|
37 |
+
<port id="2" precision="I64">
|
38 |
+
<dim>-1</dim>
|
39 |
+
<dim>2</dim>
|
40 |
+
</port>
|
41 |
+
<port id="3" precision="I32">
|
42 |
+
<dim>-1</dim>
|
43 |
+
</port>
|
44 |
+
<port id="4" precision="I64">
|
45 |
+
<dim>2</dim>
|
46 |
+
</port>
|
47 |
+
</output>
|
48 |
+
</layer>
|
49 |
+
<layer id="4" name="Broadcast_67184" type="Broadcast" version="opset3">
|
50 |
+
<data mode="numpy" />
|
51 |
+
<input>
|
52 |
+
<port id="0" precision="I32" />
|
53 |
+
<port id="1" precision="I64">
|
54 |
+
<dim>2</dim>
|
55 |
+
</port>
|
56 |
+
</input>
|
57 |
+
<output>
|
58 |
+
<port id="2" precision="I32">
|
59 |
+
<dim>-1</dim>
|
60 |
+
<dim>-1</dim>
|
61 |
+
</port>
|
62 |
+
</output>
|
63 |
+
</layer>
|
64 |
+
<layer id="5" name="Constant_67185" type="Const" version="opset1">
|
65 |
+
<data element_type="i32" shape="" offset="238520" size="4" />
|
66 |
+
<output>
|
67 |
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<port id="0" precision="I32" />
|
68 |
+
</output>
|
69 |
+
</layer>
|
70 |
+
<layer id="6" name="ShapeOf_67186" type="ShapeOf" version="opset3">
|
71 |
+
<data output_type="i64" />
|
72 |
+
<input>
|
73 |
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<port id="0" precision="I32">
|
74 |
+
<dim>-1</dim>
|
75 |
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</port>
|
76 |
+
</input>
|
77 |
+
<output>
|
78 |
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<port id="1" precision="I64">
|
79 |
+
<dim>1</dim>
|
80 |
+
</port>
|
81 |
+
</output>
|
82 |
+
</layer>
|
83 |
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<layer id="7" name="Broadcast_67187" type="Broadcast" version="opset3">
|
84 |
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<data mode="numpy" />
|
85 |
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<input>
|
86 |
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|
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|
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|
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|
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|
92 |
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|
93 |
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|
94 |
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|
95 |
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|
96 |
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|
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|
99 |
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<port id="0" precision="I32">
|
100 |
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|
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|
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|
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|
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|
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|
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|
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|
110 |
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|
111 |
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|
112 |
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|
113 |
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|
114 |
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<dim>-1</dim>
|
115 |
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</port>
|
116 |
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</output>
|
117 |
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</layer>
|
118 |
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<layer id="9" name="Constant_67199" type="Const" version="opset1">
|
119 |
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<data element_type="i64" shape="1" offset="238524" size="8" />
|
120 |
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<output>
|
121 |
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<port id="0" precision="I64">
|
122 |
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<dim>1</dim>
|
123 |
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</port>
|
124 |
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</output>
|
125 |
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</layer>
|
126 |
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|
127 |
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<data element_type="i64" shape="1" offset="238532" size="8" />
|
128 |
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<output>
|
129 |
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<port id="0" precision="I64">
|
130 |
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<dim>1</dim>
|
131 |
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</port>
|
132 |
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</output>
|
133 |
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</layer>
|
134 |
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<layer id="11" name="Constant_67201" type="Const" version="opset1">
|
135 |
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<data element_type="i64" shape="1" offset="238540" size="8" />
|
136 |
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<output>
|
137 |
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|
138 |
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<dim>1</dim>
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139 |
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</port>
|
140 |
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|
141 |
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</layer>
|
142 |
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143 |
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|
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|
147 |
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|
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|
149 |
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|
150 |
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|
152 |
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|
153 |
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|
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|
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|
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|
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174 |
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176 |
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181 |
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|
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|
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|
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|
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openvino_vocoder.bin
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version https://git-lfs.github.com/spec/v1
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ADDED
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See raw diff
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preprocessor_config.json
ADDED
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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ADDED
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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ADDED
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