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pretrained model.

config.json

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+{
+  "_name_or_path": "xlm-roberta-base-vieille-france",
+  "architectures": [
+    "XLMRobertaForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "-100": "IGN",
+    "0": "O",
+    "1": "B-PERS",
+    "2": "I-PERS",
+    "3": "B-LOC",
+    "4": "I-LOC",
+    "5": "B-DATE",
+    "6": "I-DATE"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-DATE": 5,
+    "B-LOC": 3,
+    "B-PERS": 1,
+    "I-DATE": 6,
+    "I-LOC": 4,
+    "I-PERS": 2,
+    "IGN": -100,
+    "O": 0
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

model.bfloat16.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:929e390f88a1b128a03755179508a248ebe5fa1ceeed4f41fdf74447dbd6c017
+size 1109860880