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canine-base-finetuned-parsing-ud-english-ewt

Transformers
PyTorch
canine
pretrained-on-english-language
Inference Endpoints
Model card Files Community
canine-base-finetuned-parsing-ud-english-ewt
File size: 2,130 Bytes 
0c4e880
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "google/canine-s",
  "architectures": [
    "CanineForBiaffineParsing"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 57344,
  "downsampling_rate": 4,
  "eos_token_id": 57345,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "_",
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    "8": "cc",
    "9": "ccomp",
    "10": "clf",
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    "14": "csubj",
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    "17": "discourse",
    "18": "dislocated",
    "19": "expl",
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    "21": "flat",
    "22": "goeswith",
    "23": "iobj",
    "24": "list",
    "25": "mark",
    "26": "nmod",
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    "29": "obj",
    "30": "obl",
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    "33": "punct",
    "34": "reparandum",
    "35": "root",
    "36": "vocative",
    "37": "xcomp"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
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    "acl": 1,
    "advcl": 2,
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    "appos": 5,
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    "case": 7,
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    "clf": 10,
    "compound": 11,
    "conj": 12,
    "cop": 13,
    "csubj": 14,
    "dep": 15,
    "det": 16,
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    "expl": 19,
    "fixed": 20,
    "flat": 21,
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    "list": 24,
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    "punct": 33,
    "reparandum": 34,
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    "vocative": 36,
    "xcomp": 37
  },
  "layer_norm_eps": 1e-12,
  "local_transformer_stride": 128,
  "max_position_embeddings": 16384,
  "model_type": "canine",
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  "num_hash_buckets": 16384,
  "num_hash_functions": 8,
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  "torch_dtype": "float32",
  "transformers_version": "4.17.0",
  "type_vocab_size": 16,
  "upsampling_kernel_size": 4,
  "use_cache": true
}