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seamless-m4t-v2-large-speech-encoder

Text-to-Speech
Transformers
Safetensors
seamlessm4t-v2-large-speech_encoder
audio-to-audio
custom_code
Inference Endpoints
Model card Files Community
seamless-m4t-v2-large-speech-encoder
File size: 1,776 Bytes 
65a0eff
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "feature_extractor_type": "SeamlessM4TFeatureExtractor",
  "feature_size": 80,
  "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__"
  ],
  "num_mel_bins": 80,
  "padding_side": "right",
  "padding_value": 0.0,
  "processor_class": "SeamlessM4TProcessor",
  "return_attention_mask": true,
  "sampling_rate": 16000,
  "stride": 2
}