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Team-PIXEL
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pixel-base-finetuned-pos-ud-korean-gsd

Token Classification
Transformers
PyTorch
pixel
Inference Endpoints
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pixel-base-finetuned-pos-ud-korean-gsd
File size: 1,385 Bytes 
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{
  "_name_or_path": "Team-PIXEL/pixel-base",
  "architectures": [
    "PIXELForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "decoder_hidden_size": 512,
  "decoder_intermediate_size": 2048,
  "decoder_num_attention_heads": 16,
  "decoder_num_hidden_layers": 8,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "ADJ",
    "1": "ADP",
    "2": "ADV",
    "3": "AUX",
    "4": "CCONJ",
    "5": "DET",
    "6": "INTJ",
    "7": "NOUN",
    "8": "NUM",
    "9": "PART",
    "10": "PRON",
    "11": "PROPN",
    "12": "PUNCT",
    "13": "SCONJ",
    "14": "SYM",
    "15": "VERB",
    "16": "X"
  },
  "image_size": [
    16,
    4096
  ],
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "interpolate_pos_encoding": false,
  "label2id": {
    "ADJ": 0,
    "ADP": 1,
    "ADV": 2,
    "AUX": 3,
    "CCONJ": 4,
    "DET": 5,
    "INTJ": 6,
    "NOUN": 7,
    "NUM": 8,
    "PART": 9,
    "PRON": 10,
    "PROPN": 11,
    "PUNCT": 12,
    "SCONJ": 13,
    "SYM": 14,
    "VERB": 15,
    "X": 16
  },
  "layer_norm_eps": 1e-12,
  "mask_ratio": 0.25,
  "model_type": "pixel",
  "norm_pix_loss": true,
  "num_attention_heads": 12,
  "num_channels": 3,
  "num_hidden_layers": 12,
  "pad_token_id": -100,
  "patch_size": 16,
  "qkv_bias": true,
  "torch_dtype": "float32",
  "transformers_version": "4.17.0"
}