{
  "format": "naptrap-g2p-en-decoder-onnx-v1",
  "source": {
    "repo_id": "androiddrew/g2p-en-decoder-pytorch",
    "commit": "fc55559c25a12fce6e0cf9062729e7f2a9fc1ddc",
    "format": "naptrap-g2p-en-decoder-v1",
    "sha256": "bba37553a3414f90c7ed0cd465925aa15def67f42cc59bf43b8c633e1eb7b445"
  },
  "opset": 17,
  "hidden_size": 256,
  "graphemes": [
    "<pad>",
    "<unk>",
    "</s>",
    "a",
    "b",
    "c",
    "d",
    "e",
    "f",
    "g",
    "h",
    "i",
    "j",
    "k",
    "l",
    "m",
    "n",
    "o",
    "p",
    "q",
    "r",
    "s",
    "t",
    "u",
    "v",
    "w",
    "x",
    "y",
    "z"
  ],
  "phonemes": 74,
  "start_token": 2,
  "end_token": 3,
  "max_decoder_steps": 20,
  "inputs": {
    "encoder": "graphemes [L] int64: a word's grapheme IDs followed by </s> (2)",
    "decoder": "token [1] int64 (start with 2), hidden [1,256] float32"
  },
  "outputs": {
    "encoder": "hidden [1,256]; separator [1,256], the row placed between words",
    "decoder": "next_hidden [1,256], one feature row; logits [1,74], argmax is the next token"
  },
  "sha256": {
    "encoder.onnx": "c492a8907a8b62d7f1e311c0df469490a4e4670865a6a5d8b4b7749a38666091",
    "decoder.onnx": "86953a2604f3494bf44c4d81df67c444455b4a9f0cf6f08d62fab08393bd29e1"
  }
}