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README.md

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+---
+license: mit
+---

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config.json

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+{
+  "_name_or_path": "microsoft/Florence-2-base-ft",
+  "architectures": [
+    "Florence2ForConditionalGeneration"
+  ],
+  "auto_map": {
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+    "AutoModelForCausalLM": "modeling_florence2.Florence2ForConditionalGeneration",
+    "AutoModelForVision2Seq": "modeling_florence2.Florence2ForConditionalGeneration",
+    "AutoModelForSeq2SeqLM": "modeling_florence2.Florence2ForConditionalGeneration"
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+  "bos_token_id": 0,
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+  "is_encoder_decoder": true,
+  "model_type": "florence2",
+  "pad_token_id": 1,
+  "projection_dim": 768,
+  "text_config": {
+    "_name_or_path": "",
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+    "activation_function": "gelu",
+    "add_bias_logits": false,
+    "add_cross_attention": false,
+    "add_final_layer_norm": false,
+    "architectures": null,
+    "attention_dropout": 0.1,
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+{
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+  "tasks_answer_post_processing_type": {
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+    "<OCR_WITH_REGION>": "ocr",
+    "<CAPTION>": "pure_text",
+    "<DETAILED_CAPTION>": "pure_text",
+    "<MORE_DETAILED_CAPTION>": "pure_text",
+    "<OD>": "description_with_bboxes",
+    "<DENSE_REGION_CAPTION>": "description_with_bboxes",
+    "<CAPTION_TO_PHRASE_GROUNDING>": "phrase_grounding",
+    "<REFERRING_EXPRESSION_SEGMENTATION>": "polygons",
+    "<REGION_TO_SEGMENTATION>": "polygons",
+    "<OPEN_VOCABULARY_DETECTION>": "description_with_bboxes_or_polygons",
+    "<REGION_TO_CATEGORY>": "pure_text",
+    "<REGION_TO_DESCRIPTION>": "pure_text",
+    "<REGION_TO_OCR>": "pure_text",
+    "<REGION_PROPOSAL>": "bboxes"
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+    "<OCR>": "What is the text in the image?",
+    "<OCR_WITH_REGION>": "What is the text in the image, with regions?",
+    "<CAPTION>": "What does the image describe?",
+    "<DETAILED_CAPTION>": "Describe in detail what is shown in the image.",
+    "<MORE_DETAILED_CAPTION>": "Describe with a paragraph what is shown in the image.",
+    "<OD>": "Locate the objects with category name in the image.",
+    "<DENSE_REGION_CAPTION>": "Locate the objects in the image, with their descriptions.",
+    "<REGION_PROPOSAL>": "Locate the region proposals in the image."
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+    "<CAPTION_TO_PHRASE_GROUNDING>": "Locate the phrases in the caption: {input}",
+    "<REFERRING_EXPRESSION_SEGMENTATION>": "Locate {input} in the image with mask",
+    "<REGION_TO_SEGMENTATION>": "What is the polygon mask of region {input}",
+    "<OPEN_VOCABULARY_DETECTION>": "Locate {input} in the image.",
+    "<REGION_TO_CATEGORY>": "What is the region {input}?",
+    "<REGION_TO_DESCRIPTION>": "What does the region {input} describe?",
+    "<REGION_TO_OCR>": "What text is in the region {input}?"
+  }
+}