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OpenMed-NER-PharmaDetect-TinyMed-135M-mlx

Token Classification
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openmed
distilbert
apple-silicon
pii
de-identification
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clinical
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OpenMed-NER-PharmaDetect-TinyMed-135M-mlx
File size: 1,399 Bytes
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{
  "transformers_version": "5.5.0",
  "architectures": [
    "DistilBertForTokenClassification"
  ],
  "output_hidden_states": false,
  "return_dict": true,
  "dtype": "bfloat16",
  "chunk_size_feed_forward": 0,
  "is_encoder_decoder": false,
  "id2label": {
    "0": "O",
    "1": "B-CHEM",
    "2": "I-CHEM"
  },
  "label2id": {
    "B-CHEM": 1,
    "I-CHEM": 2,
    "O": 0
  },
  "problem_type": null,
  "vocab_size": 119547,
  "max_position_embeddings": 512,
  "sinusoidal_pos_embds": false,
  "n_layers": 6,
  "n_heads": 12,
  "dim": 768,
  "hidden_dim": 3072,
  "dropout": 0.1,
  "attention_dropout": 0.1,
  "activation": "gelu",
  "initializer_range": 0.02,
  "qa_dropout": 0.1,
  "seq_classif_dropout": 0.2,
  "pad_token_id": 0,
  "eos_token_id": null,
  "bos_token_id": null,
  "tie_word_embeddings": true,
  "_name_or_path": "OpenMed/OpenMed-NER-PharmaDetect-TinyMed-135M",
  "model_type": "distilbert",
  "output_past": true,
  "tie_weights_": true,
  "output_attentions": false,
  "_mlx_task": "token-classification",
  "_mlx_family": "bert",
  "hidden_size": 768,
  "num_attention_heads": 12,
  "num_hidden_layers": 6,
  "intermediate_size": 3072,
  "hidden_dropout_prob": 0.1,
  "attention_probs_dropout_prob": 0.1,
  "layer_norm_eps": 1e-12,
  "type_vocab_size": 0,
  "_mlx_position_offset": 0,
  "_mlx_model_type": "bert",
  "num_labels": 3,
  "_mlx_weights_format": "safetensors"
}