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README.md

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+---
+library_name: transformers.js
+base_model:
+- boltuix/NeuroBERT-NER
+---
+
+# NeuroBERT-NER (ONNX)
+
+This is an ONNX version of [boltuix/NeuroBERT-NER](https://huggingface.co/boltuix/NeuroBERT-NER). It was automatically converted and uploaded using [this space](https://huggingface.co/spaces/onnx-community/convert-to-onnx).

config.json

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+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "boltuix/NeuroBERT-NER",
+  "architectures": [
+    "BertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 256,
+  "id2label": {
+    "0": "B-CARDINAL",
+    "1": "B-DATE",
+    "2": "B-EVENT",
+    "3": "B-FAC",
+    "4": "B-GPE",
+    "5": "B-LANGUAGE",
+    "6": "B-LAW",
+    "7": "B-LOC",
+    "8": "B-MONEY",
+    "9": "B-NORP",
+    "10": "B-ORDINAL",
+    "11": "B-ORG",
+    "12": "B-PERCENT",
+    "13": "B-PERSON",
+    "14": "B-PRODUCT",
+    "15": "B-QUANTITY",
+    "16": "B-TIME",
+    "17": "B-WORK_OF_ART",
+    "18": "I-CARDINAL",
+    "19": "I-DATE",
+    "20": "I-EVENT",
+    "21": "I-FAC",
+    "22": "I-GPE",
+    "23": "I-LANGUAGE",
+    "24": "I-LAW",
+    "25": "I-LOC",
+    "26": "I-MONEY",
+    "27": "I-NORP",
+    "28": "I-ORDINAL",
+    "29": "I-ORG",
+    "30": "I-PERCENT",
+    "31": "I-PERSON",
+    "32": "I-PRODUCT",
+    "33": "I-QUANTITY",
+    "34": "I-TIME",
+    "35": "I-WORK_OF_ART",
+    "36": "O"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 1024,
+  "label2id": {
+    "B-CARDINAL": "0",
+    "B-DATE": "1",
+    "B-EVENT": "2",
+    "B-FAC": "3",
+    "B-GPE": "4",
+    "B-LANGUAGE": "5",
+    "B-LAW": "6",
+    "B-LOC": "7",
+    "B-MONEY": "8",
+    "B-NORP": "9",
+    "B-ORDINAL": "10",
+    "B-ORG": "11",
+    "B-PERCENT": "12",
+    "B-PERSON": "13",
+    "B-PRODUCT": "14",
+    "B-QUANTITY": "15",
+    "B-TIME": "16",
+    "B-WORK_OF_ART": "17",
+    "I-CARDINAL": "18",
+    "I-DATE": "19",
+    "I-EVENT": "20",
+    "I-FAC": "21",
+    "I-GPE": "22",
+    "I-LANGUAGE": "23",
+    "I-LAW": "24",
+    "I-LOC": "25",
+    "I-MONEY": "26",
+    "I-NORP": "27",
+    "I-ORDINAL": "28",
+    "I-ORG": "29",
+    "I-PERCENT": "30",
+    "I-PERSON": "31",
+    "I-PRODUCT": "32",
+    "I-QUANTITY": "33",
+    "I-TIME": "34",
+    "I-WORK_OF_ART": "35",
+    "O": "36"
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 4,
+  "num_hidden_layers": 2,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.49.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

onnx/model.onnx

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onnx/model_bnb4.onnx

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onnx/model_fp16.onnx

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onnx/model_int8.onnx

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onnx/model_q4.onnx

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onnx/model_q4f16.onnx

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onnx/model_quantized.onnx

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onnx/model_uint8.onnx

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quantize_config.json

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+{
+    "modes": [
+        "fp16",
+        "q8",
+        "int8",
+        "uint8",
+        "q4",
+        "q4f16",
+        "bnb4"
+    ],
+    "per_channel": true,
+    "reduce_range": true,
+    "block_size": null,
+    "is_symmetric": true,
+    "accuracy_level": null,
+    "quant_type": 1,
+    "op_block_list": null
+}

special_tokens_map.json

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+{
+  "cls_token": {
+    "content": "[CLS]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "[MASK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "pad_token": {
+    "content": "[PAD]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+  "sep_token": {
+    "content": "[SEP]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "100": {
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+      "lstrip": false,
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+      "single_word": false,
+      "special": true
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+      "lstrip": false,
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+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}