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config.json

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+{
+  "_name_or_path": "dbmdz/bert-base-italian-cased",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "arts, culture, entertainment and media",
+    "1": "conflict, war and peace",
+    "2": "crime, law and justice",
+    "3": "culture",
+    "4": "disaster, accident and emergency incident",
+    "5": "economy",
+    "6": "economy, business and finance",
+    "7": "enviroment",
+    "8": "environment",
+    "9": "finance",
+    "10": "health",
+    "11": "labour",
+    "12": "lifestyle and leisure",
+    "13": "media",
+    "14": "science",
+    "15": "science and technology",
+    "16": "society",
+    "17": "sport",
+    "18": "technology",
+    "19": "weather"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "arts, culture, entertainment and media": 0,
+    "conflict, war and peace": 1,
+    "crime, law and justice": 2,
+    "culture": 3,
+    "disaster, accident and emergency incident": 4,
+    "economy": 5,
+    "economy, business and finance": 6,
+    "enviroment": 7,
+    "environment": 8,
+    "finance": 9,
+    "health": 10,
+    "labour": 11,
+    "lifestyle and leisure": 12,
+    "media": 13,
+    "science": 14,
+    "science and technology": 15,
+    "society": 16,
+    "sport": 17,
+    "technology": 18,
+    "weather": 19
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.10.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31102
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:083a3a5956937d37a03278acf09948d7779da51d3a117ca137742173f3cf06af
+size 439856365

special_tokens_map.json

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

tokenizer_config.json

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+{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "max_len": 512, "special_tokens_map_file": null, "name_or_path": "dbmdz/bert-base-italian-cased", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}