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hf-seamless-m4t-large

Text-to-Speech
Transformers
PyTorch
seamless_m4t
feature-extraction
SeamlessM4T
Model card Files Community
19
hf-seamless-m4t-large
File size: 1,572 Bytes 
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{
  "additional_special_tokens": null,
  "bos_token": "<s>",
  "clean_up_tokenization_spaces": true,
  "cls_token": "<s>",
  "eos_token": "</s>",
  "language_code": [
    "afr",
    "amh",
    "arb",
    "ary",
    "arz",
    "asm",
    "azj",
    "bel",
    "ben",
    "bos",
    "bul",
    "cat",
    "ceb",
    "ces",
    "ckb",
    "cmn",
    "cmn_Hant",
    "cym",
    "dan",
    "deu",
    "ell",
    "eng",
    "est",
    "eus",
    "fin",
    "fra",
    "fuv",
    "gaz",
    "gle",
    "glg",
    "guj",
    "heb",
    "hin",
    "hrv",
    "hun",
    "hye",
    "ibo",
    "ind",
    "isl",
    "ita",
    "jav",
    "jpn",
    "kan",
    "kat",
    "kaz",
    "khk",
    "khm",
    "kir",
    "kor",
    "lao",
    "lit",
    "lug",
    "luo",
    "lvs",
    "mai",
    "mal",
    "mar",
    "mkd",
    "mlt",
    "mni",
    "mya",
    "nld",
    "nno",
    "nob",
    "npi",
    "nya",
    "ory",
    "pan",
    "pbt",
    "pes",
    "pol",
    "por",
    "ron",
    "rus",
    "sat",
    "slk",
    "slv",
    "sna",
    "snd",
    "som",
    "spa",
    "srp",
    "swe",
    "swh",
    "tam",
    "tel",
    "tgk",
    "tgl",
    "tha",
    "tur",
    "ukr",
    "urd",
    "uzn",
    "vie",
    "yor",
    "yue",
    "zlm",
    "zul"
  ],
  "model_max_length": 1000000000000000019884624838656,
  "pad_token": "<pad>",
  "processor_class": "SeamlessM4TProcessor",
  "sep_token": "</s>",
  "sp_model_kwargs": {},
  "src_lang": "__eng__",
  "tgt_lang": "__fra__",
  "tokenizer_class": "SeamlessM4TTokenizer",
  "tokenizer_file": null,
  "unk_token": "<unk>"
}