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admko
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sembr2023-bert-mini

Token Classification
Transformers
PyTorch
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
sembr2023-bert-mini
File size: 1,049 Bytes 
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{
  "_name_or_path": "prajjwal1/bert-mini",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 256,
  "id2label": {
    "0": "off",
    "1": "space-0",
    "2": "space-1",
    "3": "space-2",
    "4": "space-3",
    "5": "nospace-0",
    "6": "nospace-1",
    "7": "nospace-2",
    "8": "nospace-3"
  },
  "initializer_range": 0.02,
  "intermediate_size": 1024,
  "label2id": {
    "nospace-0": 5,
    "nospace-1": 6,
    "nospace-2": 7,
    "nospace-3": 8,
    "off": 0,
    "space-0": 1,
    "space-1": 2,
    "space-2": 3,
    "space-3": 4
  },
  "layer_norm_eps": 1e-12,
  "max_indent": 3,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 4,
  "num_hidden_layers": 4,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.34.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30524
}