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config.json

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+{
+  "_name_or_path": "microsoft/layoutlmv3-base",
+  "architectures": [
+    "LayoutLMv3ForTokenClassification"
+  ],
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+  "id2label": {
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+    "1": "date_facture",
+    "2": "fournisseur",
+    "3": "client",
+    "4": "mat_client",
+    "5": "mat_fournisseur",
+    "6": "tva",
+    "7": "pourcentage_tva",
+    "8": "remise",
+    "9": "pourcentage_remise",
+    "10": "timbre",
+    "11": "fodec",
+    "12": "ttc",
+    "13": "devise",
+    "14": "net_ht"
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+  "label2id": {
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+  "max_2d_position_embeddings": 1024,
+  "max_position_embeddings": 514,
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+  "max_rel_pos": 128,
+  "model_type": "layoutlmv3",
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+  "num_channels": 3,
+  "num_hidden_layers": 12,
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+  "rel_pos_bins": 32,
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+  "shape_size": 128,
+  "text_embed": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.0.dev0",
+  "type_vocab_size": 1,
+  "visual_embed": true,
+  "vocab_size": 50265
+}

model.safetensors

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optimizer.pt

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preprocessor_config.json

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+{
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+    "do_resize",
+    "size",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "apply_ocr",
+    "ocr_lang",
+    "tesseract_config",
+    "return_tensors",
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+    "input_data_format"
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rng_state.pth

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scheduler.pt

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special_tokens_map.json

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+{
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+}

tokenizer_config.json

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+}

trainer_state.json

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