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bert-base-NER-neuronx

Token Classification
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bert-base-NER-neuronx
File size: 1,760 Bytes
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{
  "_attn_implementation_autoset": true,
  "_name_or_path": "/tmp/tmp85t7b0_b",
  "_num_labels": 9,
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-MISC",
    "2": "I-MISC",
    "3": "B-PER",
    "4": "I-PER",
    "5": "B-ORG",
    "6": "I-ORG",
    "7": "B-LOC",
    "8": "I-LOC"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-LOC": 7,
    "B-MISC": 1,
    "B-ORG": 5,
    "B-PER": 3,
    "I-LOC": 8,
    "I-MISC": 2,
    "I-ORG": 6,
    "I-PER": 4,
    "O": 0
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "neuron": {
    "auto_cast": "matmul",
    "auto_cast_type": "bf16",
    "compiler_type": "neuronx-cc",
    "compiler_version": "2.16.372.0+4a9b2326",
    "disable_fallback": false,
    "disable_fast_relayout": false,
    "dynamic_batch_size": false,
    "inline_weights_to_neff": true,
    "input_names": [
      "input_ids",
      "attention_mask",
      "token_type_ids"
    ],
    "model_type": "bert",
    "optlevel": "2",
    "output_attentions": false,
    "output_hidden_states": false,
    "output_names": [
      "logits"
    ],
    "static_batch_size": 1,
    "static_sequence_length": 128,
    "tensor_parallel_size": 1
  },
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "task": "token-classification",
  "torch_dtype": "float32",
  "torchscript": true,
  "transformers_version": "4.49.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 28996
}