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README.md

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+
+---
+license: apache-2.0
+library_name: span-marker
+tags:
+- span-marker
+- token-classification
+- ner
+- named-entity-recognition
+pipeline_tag: token-classification
+---
+
+# SpanMarker for Named Entity Recognition
+
+This is a [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) model that can be used for Named Entity Recognition. In particular, this SpanMarker model uses [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) as the underlying encoder. 
+
+## Usage
+
+To use this model for inference, first install the `span_marker` library:
+
+```bash
+pip install span_marker
+```
+
+You can then run inference with this model like so:
+
+```python
+from span_marker import SpanMarkerModel
+
+# Download from the 🤗 Hub
+model = SpanMarkerModel.from_pretrained("span_marker_model_name")
+# Run inference
+entities = model.predict("Amelia Earhart flew her single engine Lockheed Vega 5B across the Atlantic to Paris.")
+```
+
+See the [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) repository for documentation and additional information on this library.

added_tokens.json

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+{
+  "<end>": 119548,
+  "<start>": 119547
+}

config.json

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+{
+  "_name_or_path": "models\\span_marker_mbert_base_multinerd\\checkpoint-final",
+  "architectures": [
+    "SpanMarkerModel"
+  ],
+  "encoder": {
+    "_name_or_path": "bert-base-multilingual-cased",
+    "add_cross_attention": false,
+    "architectures": [
+      "BertForMaskedLM"
+    ],
+    "attention_probs_dropout_prob": 0.1,
+    "bad_words_ids": null,
+    "begin_suppress_tokens": null,
+    "bos_token_id": null,
+    "chunk_size_feed_forward": 0,
+    "classifier_dropout": null,
+    "cross_attention_hidden_size": null,
+    "decoder_start_token_id": null,
+    "directionality": "bidi",
+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "early_stopping": false,
+    "encoder_no_repeat_ngram_size": 0,
+    "eos_token_id": null,
+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.1,
+    "hidden_size": 768,
+    "id2label": {
+      "0": "O",
+      "1": "B-PER",
+      "2": "I-PER",
+      "3": "B-ORG",
+      "4": "I-ORG",
+      "5": "B-LOC",
+      "6": "I-LOC",
+      "7": "B-ANIM",
+      "8": "I-ANIM",
+      "9": "B-BIO",
+      "10": "I-BIO",
+      "11": "B-CEL",
+      "12": "I-CEL",
+      "13": "B-DIS",
+      "14": "I-DIS",
+      "15": "B-EVE",
+      "16": "I-EVE",
+      "17": "B-FOOD",
+      "18": "I-FOOD",
+      "19": "B-INST",
+      "20": "I-INST",
+      "21": "B-MEDIA",
+      "22": "I-MEDIA",
+      "23": "B-MYTH",
+      "24": "I-MYTH",
+      "25": "B-PLANT",
+      "26": "I-PLANT",
+      "27": "B-TIME",
+      "28": "I-TIME",
+      "29": "B-VEHI",
+      "30": "I-VEHI"
+    },
+    "initializer_range": 0.02,
+    "intermediate_size": 3072,
+    "is_decoder": false,
+    "is_encoder_decoder": false,
+    "label2id": {
+      "B-ANIM": 7,
+      "B-BIO": 9,
+      "B-CEL": 11,
+      "B-DIS": 13,
+      "B-EVE": 15,
+      "B-FOOD": 17,
+      "B-INST": 19,
+      "B-LOC": 5,
+      "B-MEDIA": 21,
+      "B-MYTH": 23,
+      "B-ORG": 3,
+      "B-PER": 1,
+      "B-PLANT": 25,
+      "B-TIME": 27,
+      "B-VEHI": 29,
+      "I-ANIM": 8,
+      "I-BIO": 10,
+      "I-CEL": 12,
+      "I-DIS": 14,
+      "I-EVE": 16,
+      "I-FOOD": 18,
+      "I-INST": 20,
+      "I-LOC": 6,
+      "I-MEDIA": 22,
+      "I-MYTH": 24,
+      "I-ORG": 4,
+      "I-PER": 2,
+      "I-PLANT": 26,
+      "I-TIME": 28,
+      "I-VEHI": 30,
+      "O": 0
+    },
+    "layer_norm_eps": 1e-12,
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "max_position_embeddings": 512,
+    "min_length": 0,
+    "model_type": "bert",
+    "no_repeat_ngram_size": 0,
+    "num_attention_heads": 12,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_hidden_layers": 12,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_scores": false,
+    "pad_token_id": 0,
+    "pooler_fc_size": 768,
+    "pooler_num_attention_heads": 12,
+    "pooler_num_fc_layers": 3,
+    "pooler_size_per_head": 128,
+    "pooler_type": "first_token_transform",
+    "position_embedding_type": "absolute",
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "sep_token_id": null,
+    "suppress_tokens": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tf_legacy_loss": false,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": true,
+    "tokenizer_class": null,
+    "top_k": 50,
+    "top_p": 1.0,
+    "torch_dtype": null,
+    "torchscript": false,
+    "transformers_version": "4.28.1",
+    "type_vocab_size": 2,
+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "use_cache": true,
+    "vocab_size": 119549
+  },
+  "entity_max_length": 8,
+  "id2label": {
+    "0": "O",
+    "1": "ANIM",
+    "2": "BIO",
+    "3": "CEL",
+    "4": "DIS",
+    "5": "EVE",
+    "6": "FOOD",
+    "7": "INST",
+    "8": "LOC",
+    "9": "MEDIA",
+    "10": "MYTH",
+    "11": "ORG",
+    "12": "PER",
+    "13": "PLANT",
+    "14": "TIME",
+    "15": "VEHI"
+  },
+  "id2reduced_id": {
+    "0": 0,
+    "1": 12,
+    "2": 12,
+    "3": 11,
+    "4": 11,
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+    "27": 14,
+    "28": 14,
+    "29": 15,
+    "30": 15
+  },
+  "label2id": {
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+    "BIO": 2,
+    "CEL": 3,
+    "DIS": 4,
+    "EVE": 5,
+    "FOOD": 6,
+    "INST": 7,
+    "LOC": 8,
+    "MEDIA": 9,
+    "MYTH": 10,
+    "O": 0,
+    "ORG": 11,
+    "PER": 12,
+    "PLANT": 13,
+    "TIME": 14,
+    "VEHI": 15
+  },
+  "marker_max_length": 128,
+  "max_next_context": null,
+  "max_prev_context": null,
+  "model_max_length": 256,
+  "model_max_length_default": 512,
+  "model_type": "span-marker",
+  "span_marker_version": "1.2.5.dev",
+  "torch_dtype": "float32",
+  "trained_with_document_context": false,
+  "transformers_version": "4.28.1",
+  "vocab_size": 119549
+}

pytorch_model.bin

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+oid sha256:c6f68a5f8e39005e62dbfeeabf29f9ac5b66b6e6cabc599c85e191f83d2cb27e
+size 711588853

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": true,
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}