448f9ad56731748a537d3d42ed08cfb72fd0fb585ffb6edbd21cb979b7e1e71e
Browse files- speaker_embeddings/v2/zh_speaker_8_coarse_prompt.npy +3 -0
- speaker_embeddings/v2/zh_speaker_8_fine_prompt.npy +3 -0
- speaker_embeddings/v2/zh_speaker_8_semantic_prompt.npy +3 -0
- speaker_embeddings/v2/zh_speaker_9_coarse_prompt.npy +3 -0
- speaker_embeddings/v2/zh_speaker_9_fine_prompt.npy +3 -0
- speaker_embeddings/v2/zh_speaker_9_semantic_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_0_coarse_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_0_fine_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_0_semantic_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_1_coarse_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_1_fine_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_1_semantic_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_2_coarse_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_2_fine_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_2_semantic_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_3_coarse_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_3_fine_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_3_semantic_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_4_coarse_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_4_fine_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_4_semantic_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_5_coarse_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_5_fine_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_5_semantic_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_6_coarse_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_6_fine_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_6_semantic_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_7_coarse_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_7_fine_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_7_semantic_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_8_coarse_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_8_fine_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_8_semantic_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_9_coarse_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_9_fine_prompt.npy +3 -0
- speaker_embeddings/zh_speaker_9_semantic_prompt.npy +3 -0
- speaker_embeddings_path.json +1 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +14 -0
- vocab.txt +0 -0
speaker_embeddings/v2/zh_speaker_8_coarse_prompt.npy
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speaker_embeddings/v2/zh_speaker_8_fine_prompt.npy
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speaker_embeddings/v2/zh_speaker_8_semantic_prompt.npy
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speaker_embeddings/v2/zh_speaker_9_coarse_prompt.npy
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speaker_embeddings/v2/zh_speaker_9_fine_prompt.npy
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speaker_embeddings/v2/zh_speaker_9_semantic_prompt.npy
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speaker_embeddings/zh_speaker_0_coarse_prompt.npy
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speaker_embeddings/zh_speaker_0_fine_prompt.npy
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speaker_embeddings/zh_speaker_0_semantic_prompt.npy
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speaker_embeddings/zh_speaker_1_coarse_prompt.npy
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speaker_embeddings/zh_speaker_1_fine_prompt.npy
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speaker_embeddings/zh_speaker_1_semantic_prompt.npy
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speaker_embeddings/zh_speaker_2_coarse_prompt.npy
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speaker_embeddings/zh_speaker_2_fine_prompt.npy
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speaker_embeddings/zh_speaker_2_semantic_prompt.npy
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speaker_embeddings/zh_speaker_3_coarse_prompt.npy
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speaker_embeddings/zh_speaker_3_fine_prompt.npy
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speaker_embeddings/zh_speaker_3_semantic_prompt.npy
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speaker_embeddings/zh_speaker_4_coarse_prompt.npy
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speaker_embeddings/zh_speaker_4_fine_prompt.npy
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speaker_embeddings/zh_speaker_4_semantic_prompt.npy
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speaker_embeddings/zh_speaker_5_coarse_prompt.npy
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speaker_embeddings/zh_speaker_5_fine_prompt.npy
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speaker_embeddings/zh_speaker_6_coarse_prompt.npy
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speaker_embeddings/zh_speaker_6_semantic_prompt.npy
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speaker_embeddings/zh_speaker_7_coarse_prompt.npy
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speaker_embeddings/zh_speaker_7_fine_prompt.npy
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speaker_embeddings/zh_speaker_7_semantic_prompt.npy
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speaker_embeddings/zh_speaker_8_coarse_prompt.npy
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speaker_embeddings/zh_speaker_8_fine_prompt.npy
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speaker_embeddings/zh_speaker_8_semantic_prompt.npy
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speaker_embeddings/zh_speaker_9_coarse_prompt.npy
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speaker_embeddings_path.json
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{"repo_or_path": "ylacombe/bark-large", "es_speaker_9": {"semantic_prompt": "speaker_embeddings/es_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/es_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/es_speaker_9_fine_prompt.npy"}, "v2/it_speaker_6": {"semantic_prompt": "speaker_embeddings/v2/it_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/it_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/it_speaker_6_fine_prompt.npy"}, "v2/en_speaker_8": {"semantic_prompt": "speaker_embeddings/v2/en_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/en_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/en_speaker_8_fine_prompt.npy"}, "ja_speaker_5": {"semantic_prompt": "speaker_embeddings/ja_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ja_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ja_speaker_5_fine_prompt.npy"}, "pl_speaker_8": 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"speaker_embeddings/v2/es_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/es_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/es_speaker_6_fine_prompt.npy"}, "v2/en_speaker_7": {"semantic_prompt": "speaker_embeddings/v2/en_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/en_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/en_speaker_7_fine_prompt.npy"}, "fr_speaker_1": {"semantic_prompt": "speaker_embeddings/fr_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/fr_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/fr_speaker_1_fine_prompt.npy"}, "pl_speaker_7": {"semantic_prompt": "speaker_embeddings/pl_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/pl_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/pl_speaker_7_fine_prompt.npy"}, "zh_speaker_1": {"semantic_prompt": "speaker_embeddings/zh_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/zh_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/zh_speaker_1_fine_prompt.npy"}, "v2/de_speaker_7": {"semantic_prompt": "speaker_embeddings/v2/de_speaker_7_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/de_speaker_7_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/de_speaker_7_fine_prompt.npy"}, "tr_speaker_0": {"semantic_prompt": "speaker_embeddings/tr_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/tr_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/tr_speaker_0_fine_prompt.npy"}, "tr_speaker_9": {"semantic_prompt": "speaker_embeddings/tr_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/tr_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/tr_speaker_9_fine_prompt.npy"}, "zh_speaker_6": {"semantic_prompt": "speaker_embeddings/zh_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/zh_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/zh_speaker_6_fine_prompt.npy"}, "ko_speaker_9": {"semantic_prompt": "speaker_embeddings/ko_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ko_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ko_speaker_9_fine_prompt.npy"}, "en_speaker_5": {"semantic_prompt": "speaker_embeddings/en_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/en_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/en_speaker_5_fine_prompt.npy"}, "es_speaker_4": {"semantic_prompt": "speaker_embeddings/es_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/es_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/es_speaker_4_fine_prompt.npy"}, "v2/ja_speaker_9": {"semantic_prompt": "speaker_embeddings/v2/ja_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ja_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ja_speaker_9_fine_prompt.npy"}, "v2/de_speaker_3": {"semantic_prompt": "speaker_embeddings/v2/de_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/de_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/de_speaker_3_fine_prompt.npy"}, "v2/pl_speaker_5": {"semantic_prompt": "speaker_embeddings/v2/pl_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pl_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pl_speaker_5_fine_prompt.npy"}, "ko_speaker_1": {"semantic_prompt": "speaker_embeddings/ko_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ko_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ko_speaker_1_fine_prompt.npy"}, "v2/ko_speaker_0": {"semantic_prompt": "speaker_embeddings/v2/ko_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/ko_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/ko_speaker_0_fine_prompt.npy"}, "v2/pt_speaker_2": {"semantic_prompt": "speaker_embeddings/v2/pt_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pt_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pt_speaker_2_fine_prompt.npy"}, "v2/de_speaker_5": {"semantic_prompt": "speaker_embeddings/v2/de_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/de_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/de_speaker_5_fine_prompt.npy"}, "v2/fr_speaker_6": {"semantic_prompt": "speaker_embeddings/v2/fr_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/fr_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/fr_speaker_6_fine_prompt.npy"}, "v2/zh_speaker_2": {"semantic_prompt": "speaker_embeddings/v2/zh_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/zh_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/zh_speaker_2_fine_prompt.npy"}, "en_speaker_1": {"semantic_prompt": "speaker_embeddings/en_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/en_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/en_speaker_1_fine_prompt.npy"}, "v2/de_speaker_8": {"semantic_prompt": "speaker_embeddings/v2/de_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/de_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/de_speaker_8_fine_prompt.npy"}}
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"pad_token": "[PAD]",
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"processor_class": "BarkProcessor",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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vocab.txt
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