{
  "_name_or_path": "microsoft/deberta-v3-xsmall",
  "architectures": [
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  ],
  "attention_probs_dropout_prob": 0.1,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 384,
  "id2label": {
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    "1": "django",
    "2": "pandas",
    "3": "dictionary",
    "4": "numpy",
    "5": "list",
    "6": "string",
    "7": "python-3.x",
    "8": "matplotlib",
    "9": "python-2.7"
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  "intermediate_size": 1536,
  "label2id": {
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    "django": 1,
    "list": 5,
    "matplotlib": 8,
    "numpy": 4,
    "pandas": 2,
    "python-2.7": 9,
    "python-3.x": 7,
    "regex": 0,
    "string": 6
  },
  "layer_norm_eps": 1e-07,
  "max_position_embeddings": 512,
  "max_relative_positions": -1,
  "model_type": "deberta-v2",
  "norm_rel_ebd": "layer_norm",
  "num_attention_heads": 6,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "pooler_dropout": 0,
  "pooler_hidden_act": "gelu",
  "pooler_hidden_size": 384,
  "pos_att_type": [
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    "c2p"
  ],
  "position_biased_input": false,
  "position_buckets": 256,
  "problem_type": "multi_label_classification",
  "relative_attention": true,
  "share_att_key": true,
  "torch_dtype": "float32",
  "transformers_version": "4.45.1",
  "type_vocab_size": 0,
  "vocab_size": 128100
}