Initial commit

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

.gitignore

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+# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio, WebStorm and Rider
+# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
+
+# User-specific stuff
+.idea/**/workspace.xml
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+.idea/**/dataSources/
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+.idea/**/dataSources.local.xml
+.idea/**/sqlDataSources.xml
+.idea/**/dynamic.xml
+.idea/**/uiDesigner.xml
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+
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+# CMake
+cmake-build-*/
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+#wwwroot/
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+Generated\ Files/
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+# MSTest test Results
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+[Bb]uild[Ll]og.*
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+# NUnit
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+TestResult.xml
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+dlldata.c
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+# ASP.NET Scaffolding
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+# StyleCop
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+
+# Files built by Visual Studio
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+*.meta
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+*.pch
+*.pdb
+*.ipdb
+*.pgc
+*.pgd
+*.rsp
+*.sbr
+*.tlb
+*.tli
+*.tlh
+*.tmp
+*.tmp_proj
+*_wpftmp.csproj
+*.log
+*.vspscc
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+.builds
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+*.svclog
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+
+# Chutzpah Test files
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+
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+*.[Rr]e[Ss]harper
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+_TeamCity*
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+# DotCover is a Code Coverage Tool
+*.dotCover
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+.axoCover/*
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+coverage*.json
+coverage*.xml
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+# Visual Studio code coverage results
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+
+# NCrunch
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+.*crunch*.local.xml
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+# MightyMoose
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+AutoTest.Net/
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+# Web workbench (sass)
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+# Installshield output folder
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+# DocProject is a documentation generator add-in
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+DocProject/Help/*.HxT
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+**/[Pp]ackages/*
+# except build/, which is used as an MSBuild target.
+!**/[Pp]ackages/build/
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+#!**/[Pp]ackages/repositories.config
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+*.nuget.props
+*.nuget.targets
+
+# Microsoft Azure Build Output
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+BundleArtifacts/
+Package.StoreAssociation.xml
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+*.appx
+*.appxbundle
+*.appxupload
+
+# Visual Studio cache files
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+# but keep track of directories ending in .cache
+!?*.[Cc]ache/
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+# Others
+ClientBin/
+~$*
+*~
+*.dbmdl
+*.dbproj.schemaview
+*.jfm
+*.pfx
+*.publishsettings
+orleans.codegen.cs
+
+# Including strong name files can present a security risk
+# (https://github.com/github/gitignore/pull/2483#issue-259490424)
+#*.snk
+
+# Since there are multiple workflows, uncomment next line to ignore bower_components
+# (https://github.com/github/gitignore/pull/1529#issuecomment-104372622)
+#bower_components/
+
+# RIA/Silverlight projects
+Generated_Code/
+
+# Backup & report files from converting an old project file
+# to a newer Visual Studio version. Backup files are not needed,
+# because we have git ;-)
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+Backup*/
+UpgradeLog*.XML
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+ServiceFabricBackup/
+*.rptproj.bak
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+# Business Intelligence projects
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+*.rptproj.rsuser
+*- [Bb]ackup.rdl
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+*- [Bb]ackup ([0-9][0-9]).rdl
+
+# Microsoft Fakes
+FakesAssemblies/
+
+# GhostDoc plugin setting file
+*.GhostDoc.xml
+
+# Node.js Tools for Visual Studio
+.ntvs_analysis.dat
+node_modules/
+
+# Visual Studio 6 build log
+*.plg
+
+# Visual Studio 6 workspace options file
+*.opt
+
+# Visual Studio 6 auto-generated workspace file (contains which files were open etc.)
+*.vbw
+
+# Visual Studio LightSwitch build output
+**/*.HTMLClient/GeneratedArtifacts
+**/*.DesktopClient/GeneratedArtifacts
+**/*.DesktopClient/ModelManifest.xml
+**/*.Server/GeneratedArtifacts
+**/*.Server/ModelManifest.xml
+_Pvt_Extensions
+
+# Paket dependency manager
+.paket/paket.exe
+paket-files/
+
+# FAKE - F# Make
+.fake/
+
+# CodeRush personal settings
+.cr/personal
+
+# Python Tools for Visual Studio (PTVS)
+__pycache__/
+*.pyc
+
+# Cake - Uncomment if you are using it
+# tools/**
+# !tools/packages.config
+
+# Tabs Studio
+*.tss
+
+# Telerik's JustMock configuration file
+*.jmconfig
+
+# BizTalk build output
+*.btp.cs
+*.btm.cs
+*.odx.cs
+*.xsd.cs
+
+# OpenCover UI analysis results
+OpenCover/
+
+# Azure Stream Analytics local run output
+ASALocalRun/
+
+# MSBuild Binary and Structured Log
+*.binlog
+
+# NVidia Nsight GPU debugger configuration file
+*.nvuser
+
+# MFractors (Xamarin productivity tool) working folder
+.mfractor/
+
+# Local History for Visual Studio
+.localhistory/
+
+# BeatPulse healthcheck temp database
+healthchecksdb
+
+# Backup folder for Package Reference Convert tool in Visual Studio 2017
+MigrationBackup/
+
+# Ionide (cross platform F# VS Code tools) working folder
+.ionide/
+
+# Fody - auto-generated XML schema
+FodyWeavers.xsd
+
+# Added by TrumpMcDonaldz:
+
+# Ignore DS_Store
+.DS_Store
+
+# Ignore appsettings.json
+appsettings.json
+
+# Ignore .idea
+.idea/

README.md

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+---
+license: mit
+pipeline_tag: image-text-to-text
+tags:
+- vision
+- text-generation
+- text2text-generation
+- image-to-text
+library_name: transformers.js
+---
+
+https://huggingface.co/microsoft/Florence-2-large with ONNX weights to be compatible with Transformers.js.
+
+## Usage (Transformers.js)
+
+> [!IMPORTANT]
+> NOTE: Florence-2 support is experimental and requires you to install Transformers.js [v3](https://github.com/xenova/transformers.js/tree/v3) from source.
+
+If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [GitHub](https://github.com/xenova/transformers.js/tree/v3) using:
+```bash
+npm install xenova/transformers.js#v3
+```
+
+**Example:** Perform image captioning with `onnx-community/Florence-2-large`.
+```js
+import {
+    Florence2ForConditionalGeneration,
+    AutoProcessor,
+    AutoTokenizer,
+    RawImage,
+} from '@xenova/transformers';
+
+// Load model, processor, and tokenizer
+const model_id = 'onnx-community/Florence-2-large';
+const model = await Florence2ForConditionalGeneration.from_pretrained(model_id, {
+    dtype: {
+        embed_tokens: 'fp16', // or 'fp32'
+        vision_encoder: 'fp16', // or 'fp32'
+        encoder_model: 'q4',
+        decoder_model_merged: 'q4',
+    },
+});
+const processor = await AutoProcessor.from_pretrained(model_id);
+const tokenizer = await AutoTokenizer.from_pretrained(model_id);
+
+// Load image and prepare vision inputs
+const url = 'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/tasks/car.jpg';
+const image = await RawImage.fromURL(url);
+const vision_inputs = await processor(image);
+
+// Specify task and prepare text inputs
+const task = '<MORE_DETAILED_CAPTION>';
+const prompts = processor.construct_prompts(task);
+const text_inputs = tokenizer(prompts);
+
+// Generate text
+const generated_ids = await model.generate({
+    ...text_inputs,
+    ...vision_inputs,
+    max_new_tokens: 256,
+});
+
+// Decode generated text
+const generated_text = tokenizer.batch_decode(generated_ids, { skip_special_tokens: false })[0];
+
+// Post-process the generated text
+const result = processor.post_process_generation(generated_text, task, image.size);
+console.log(result);
+// { '<MORE_DETAILED_CAPTION>': 'The image shows a vintage Volkswagen Beetle car parked on a cobblestone street in front of a yellow building with two wooden doors. The car is a bright turquoise color and has a classic design with a round body and a sloping roofline. It has two doors on either side of the car, one on the left side and one in the center, with a brown door on the right side. The doors are made of wood and have a rustic, weathered look. The building behind the car is painted in a light yellow color and appears to be old and dilapidated. The sky is blue and there are trees in the background. The image is taken from a low angle, looking up at the car and the building.' }
+```
+
+We also released an online demo, which you can try yourself: https://huggingface.co/spaces/Xenova/florence2-webgpu
+
+
+<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/61b253b7ac5ecaae3d1efe0c/BJj3jQXNqS_7Nt2MSb2ss.mp4"></video>
+
+---
+
+Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).
+

added_tokens.json

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config.json

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+{
+  "_name_or_path": "./Florence-2-large",
+  "architectures": [
+    "Florence2ForConditionalGeneration"
+  ],
+  "bos_token_id": 0,
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+  "ignore_index": -100,
+  "is_encoder_decoder": true,
+  "model_type": "florence2",
+  "pad_token_id": 1,
+  "projection_dim": 1024,
+  "text_config": {
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+    "activation_function": "gelu",
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+    "early_stopping": true,
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+    "finetuning_task": null,
+    "forced_bos_token_id": 0,
+    "forced_eos_token_id": 2,
+    "gradient_checkpointing": false,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1",
+      "2": "LABEL_2"
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+    "init_std": 0.02,
+    "is_decoder": false,
+    "is_encoder_decoder": true,
+    "label2id": {
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+      "LABEL_1": 1,
+      "LABEL_2": 2
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+    "length_penalty": 1.0,
+    "max_length": 20,
+    "max_position_embeddings": 1024,
+    "min_length": 0,
+    "model_type": "florence2_language",
+    "no_repeat_ngram_size": 3,
+    "normalize_before": false,
+    "num_beam_groups": 1,
+    "num_beams": 3,
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+    "output_hidden_states": false,
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+    "torchscript": false,
+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "use_cache": true,
+    "vocab_size": 51289
+  },
+  "transformers_version": "4.42.0.dev0",
+  "use_cache": true,
+  "vision_config": {
+    "_name_or_path": "",
+    "add_cross_attention": false,
+    "architectures": null,
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+    "depths": [
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+      1,
+      9,
+      1
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+    "dim_embed": [
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+      512,
+      1024,
+      2048
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+    "drop_path_rate": 0.1,
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+    "enable_checkpoint": false,
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+    "forced_eos_token_id": null,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "image_feature_source": [
+      "spatial_avg_pool",
+      "temporal_avg_pool"
+    ],
+    "image_pos_embed": {
+      "max_pos_embeddings": 50,
+      "type": "learned_abs_2d"
+    },
+    "is_decoder": false,
+    "is_encoder_decoder": false,
+    "label2id": {
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+      "LABEL_1": 1
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+    "length_penalty": 1.0,
+    "max_length": 20,
+    "min_length": 0,
+    "model_type": "",
+    "no_repeat_ngram_size": 0,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_groups": [
+      8,
+      16,
+      32,
+      64
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+    "num_heads": [
+      8,
+      16,
+      32,
+      64
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+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_scores": false,
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+    "patch_padding": [
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+      1,
+      1,
+      1
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+      false,
+      true,
+      true,
+      true
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+    "patch_size": [
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+      3,
+      3,
+      3
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+    "patch_stride": [
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+      2,
+      2,
+      2
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+    "pruned_heads": {},
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+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "sep_token_id": null,
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+    "temperature": 1.0,
+    "tf_legacy_loss": false,
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+    "tie_word_embeddings": true,
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+    "torchscript": false,
+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "visual_temporal_embedding": {
+      "max_temporal_embeddings": 100,
+      "type": "COSINE"
+    },
+    "window_size": 12
+  },
+  "vocab_size": 51289
+}

generation_config.json

@@ -0,0 +1,4 @@
+{
+  "num_beams": 3,
+  "transformers_version": "4.42.0.dev0"
+}

preprocessor_config.json

@@ -0,0 +1,83 @@
+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_center_crop",
+    "crop_size",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "do_convert_rgb",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "crop_size": {
+    "height": 768,
+    "width": 768
+  },
+  "do_center_crop": false,
+  "do_convert_rgb": null,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "CLIPImageProcessor",
+  "image_seq_length": 577,
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "processor_class": "Florence2Processor",
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 768,
+    "width": 768
+  },
+  "tasks_answer_post_processing_type": {
+    "<OCR>": "pure_text",
+    "<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"
+  },
+  "task_prompts_without_inputs": {
+    "<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."
+  },
+  "task_prompts_with_input": {
+    "<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}?"
+  }
+}

processor_config.json

@@ -0,0 +1,6 @@
+{
+  "auto_map": {
+    "AutoProcessor": "processing_florence2.Florence2Processor"
+  },
+  "processor_class": "Florence2Processor"
+}