Upload 13 files

README.md

@@ -1,3 +1,202 @@
----
-license: apache-2.0
----
+---
+base_model: microsoft/Florence-2-large
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.12.0

adapter_config.json

@@ -0,0 +1,35 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/Florence-2-large",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "gaussian",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 8,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "lm_head",
+    "linear",
+    "v_proj",
+    "fc2",
+    "k_proj",
+    "Conv2d",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": true
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5d2376bd66be1a939acc8fcce8f112efc0e241e1b3bdec9a68fc072eca6a7df9
+size 16582384

added_tokens.json

@@ -0,0 +1,1026 @@
+{
+  "</cap>": 51270,
+  "</dcap>": 51274,
+  "</grounding>": 51276,
+  "</ncap>": 51272,
+  "</ocr>": 50268,
+  "</od>": 50266,
+  "</poly>": 51287,
+  "</proposal>": 51285,
+  "</region_cap>": 51281,
+  "</region_to_desciption>": 51283,
+  "</seg>": 51278,
+  "<and>": 51288,
+  "<cap>": 51269,
+  "<dcap>": 51273,
+  "<grounding>": 51275,
+  "<loc_0>": 50269,
+  "<loc_100>": 50369,
+  "<loc_101>": 50370,
+  "<loc_102>": 50371,
+  "<loc_103>": 50372,
+  "<loc_104>": 50373,
+  "<loc_105>": 50374,
+  "<loc_106>": 50375,
+  "<loc_107>": 50376,
+  "<loc_108>": 50377,
+  "<loc_109>": 50378,
+  "<loc_10>": 50279,
+  "<loc_110>": 50379,
+  "<loc_111>": 50380,
+  "<loc_112>": 50381,
+  "<loc_113>": 50382,
+  "<loc_114>": 50383,
+  "<loc_115>": 50384,
+  "<loc_116>": 50385,
+  "<loc_117>": 50386,
+  "<loc_118>": 50387,
+  "<loc_119>": 50388,
+  "<loc_11>": 50280,
+  "<loc_120>": 50389,
+  "<loc_121>": 50390,
+  "<loc_122>": 50391,
+  "<loc_123>": 50392,
+  "<loc_124>": 50393,
+  "<loc_125>": 50394,
+  "<loc_126>": 50395,
+  "<loc_127>": 50396,
+  "<loc_128>": 50397,
+  "<loc_129>": 50398,
+  "<loc_12>": 50281,
+  "<loc_130>": 50399,
+  "<loc_131>": 50400,
+  "<loc_132>": 50401,
+  "<loc_133>": 50402,
+  "<loc_134>": 50403,
+  "<loc_135>": 50404,
+  "<loc_136>": 50405,
+  "<loc_137>": 50406,
+  "<loc_138>": 50407,
+  "<loc_139>": 50408,
+  "<loc_13>": 50282,
+  "<loc_140>": 50409,
+  "<loc_141>": 50410,
+  "<loc_142>": 50411,
+  "<loc_143>": 50412,
+  "<loc_144>": 50413,
+  "<loc_145>": 50414,
+  "<loc_146>": 50415,
+  "<loc_147>": 50416,
+  "<loc_148>": 50417,
+  "<loc_149>": 50418,
+  "<loc_14>": 50283,
+  "<loc_150>": 50419,
+  "<loc_151>": 50420,
+  "<loc_152>": 50421,
+  "<loc_153>": 50422,
+  "<loc_154>": 50423,
+  "<loc_155>": 50424,
+  "<loc_156>": 50425,
+  "<loc_157>": 50426,
+  "<loc_158>": 50427,
+  "<loc_159>": 50428,
+  "<loc_15>": 50284,
+  "<loc_160>": 50429,
+  "<loc_161>": 50430,
+  "<loc_162>": 50431,
+  "<loc_163>": 50432,
+  "<loc_164>": 50433,
+  "<loc_165>": 50434,
+  "<loc_166>": 50435,
+  "<loc_167>": 50436,
+  "<loc_168>": 50437,
+  "<loc_169>": 50438,
+  "<loc_16>": 50285,
+  "<loc_170>": 50439,
+  "<loc_171>": 50440,
+  "<loc_172>": 50441,
+  "<loc_173>": 50442,
+  "<loc_174>": 50443,
+  "<loc_175>": 50444,
+  "<loc_176>": 50445,
+  "<loc_177>": 50446,
+  "<loc_178>": 50447,
+  "<loc_179>": 50448,
+  "<loc_17>": 50286,
+  "<loc_180>": 50449,
+  "<loc_181>": 50450,
+  "<loc_182>": 50451,
+  "<loc_183>": 50452,
+  "<loc_184>": 50453,
+  "<loc_185>": 50454,
+  "<loc_186>": 50455,
+  "<loc_187>": 50456,
+  "<loc_188>": 50457,
+  "<loc_189>": 50458,
+  "<loc_18>": 50287,
+  "<loc_190>": 50459,
+  "<loc_191>": 50460,
+  "<loc_192>": 50461,
+  "<loc_193>": 50462,
+  "<loc_194>": 50463,
+  "<loc_195>": 50464,
+  "<loc_196>": 50465,
+  "<loc_197>": 50466,
+  "<loc_198>": 50467,
+  "<loc_199>": 50468,
+  "<loc_19>": 50288,
+  "<loc_1>": 50270,
+  "<loc_200>": 50469,
+  "<loc_201>": 50470,
+  "<loc_202>": 50471,
+  "<loc_203>": 50472,
+  "<loc_204>": 50473,
+  "<loc_205>": 50474,
+  "<loc_206>": 50475,
+  "<loc_207>": 50476,
+  "<loc_208>": 50477,
+  "<loc_209>": 50478,
+  "<loc_20>": 50289,
+  "<loc_210>": 50479,
+  "<loc_211>": 50480,
+  "<loc_212>": 50481,
+  "<loc_213>": 50482,
+  "<loc_214>": 50483,
+  "<loc_215>": 50484,
+  "<loc_216>": 50485,
+  "<loc_217>": 50486,
+  "<loc_218>": 50487,
+  "<loc_219>": 50488,
+  "<loc_21>": 50290,
+  "<loc_220>": 50489,
+  "<loc_221>": 50490,
+  "<loc_222>": 50491,
+  "<loc_223>": 50492,
+  "<loc_224>": 50493,
+  "<loc_225>": 50494,
+  "<loc_226>": 50495,
+  "<loc_227>": 50496,
+  "<loc_228>": 50497,
+  "<loc_229>": 50498,
+  "<loc_22>": 50291,
+  "<loc_230>": 50499,
+  "<loc_231>": 50500,
+  "<loc_232>": 50501,
+  "<loc_233>": 50502,
+  "<loc_234>": 50503,
+  "<loc_235>": 50504,
+  "<loc_236>": 50505,
+  "<loc_237>": 50506,
+  "<loc_238>": 50507,
+  "<loc_239>": 50508,
+  "<loc_23>": 50292,
+  "<loc_240>": 50509,
+  "<loc_241>": 50510,
+  "<loc_242>": 50511,
+  "<loc_243>": 50512,
+  "<loc_244>": 50513,
+  "<loc_245>": 50514,
+  "<loc_246>": 50515,
+  "<loc_247>": 50516,
+  "<loc_248>": 50517,
+  "<loc_249>": 50518,
+  "<loc_24>": 50293,
+  "<loc_250>": 50519,
+  "<loc_251>": 50520,
+  "<loc_252>": 50521,
+  "<loc_253>": 50522,
+  "<loc_254>": 50523,
+  "<loc_255>": 50524,
+  "<loc_256>": 50525,
+  "<loc_257>": 50526,
+  "<loc_258>": 50527,
+  "<loc_259>": 50528,
+  "<loc_25>": 50294,
+  "<loc_260>": 50529,
+  "<loc_261>": 50530,
+  "<loc_262>": 50531,
+  "<loc_263>": 50532,
+  "<loc_264>": 50533,
+  "<loc_265>": 50534,
+  "<loc_266>": 50535,
+  "<loc_267>": 50536,
+  "<loc_268>": 50537,
+  "<loc_269>": 50538,
+  "<loc_26>": 50295,
+  "<loc_270>": 50539,
+  "<loc_271>": 50540,
+  "<loc_272>": 50541,
+  "<loc_273>": 50542,
+  "<loc_274>": 50543,
+  "<loc_275>": 50544,
+  "<loc_276>": 50545,
+  "<loc_277>": 50546,
+  "<loc_278>": 50547,
+  "<loc_279>": 50548,
+  "<loc_27>": 50296,
+  "<loc_280>": 50549,
+  "<loc_281>": 50550,
+  "<loc_282>": 50551,
+  "<loc_283>": 50552,
+  "<loc_284>": 50553,
+  "<loc_285>": 50554,
+  "<loc_286>": 50555,
+  "<loc_287>": 50556,
+  "<loc_288>": 50557,
+  "<loc_289>": 50558,
+  "<loc_28>": 50297,
+  "<loc_290>": 50559,
+  "<loc_291>": 50560,
+  "<loc_292>": 50561,
+  "<loc_293>": 50562,
+  "<loc_294>": 50563,
+  "<loc_295>": 50564,
+  "<loc_296>": 50565,
+  "<loc_297>": 50566,
+  "<loc_298>": 50567,
+  "<loc_299>": 50568,
+  "<loc_29>": 50298,
+  "<loc_2>": 50271,
+  "<loc_300>": 50569,
+  "<loc_301>": 50570,
+  "<loc_302>": 50571,
+  "<loc_303>": 50572,
+  "<loc_304>": 50573,
+  "<loc_305>": 50574,
+  "<loc_306>": 50575,
+  "<loc_307>": 50576,
+  "<loc_308>": 50577,
+  "<loc_309>": 50578,
+  "<loc_30>": 50299,
+  "<loc_310>": 50579,
+  "<loc_311>": 50580,
+  "<loc_312>": 50581,
+  "<loc_313>": 50582,
+  "<loc_314>": 50583,
+  "<loc_315>": 50584,
+  "<loc_316>": 50585,
+  "<loc_317>": 50586,
+  "<loc_318>": 50587,
+  "<loc_319>": 50588,
+  "<loc_31>": 50300,
+  "<loc_320>": 50589,
+  "<loc_321>": 50590,
+  "<loc_322>": 50591,
+  "<loc_323>": 50592,
+  "<loc_324>": 50593,
+  "<loc_325>": 50594,
+  "<loc_326>": 50595,
+  "<loc_327>": 50596,
+  "<loc_328>": 50597,
+  "<loc_329>": 50598,
+  "<loc_32>": 50301,
+  "<loc_330>": 50599,
+  "<loc_331>": 50600,
+  "<loc_332>": 50601,
+  "<loc_333>": 50602,
+  "<loc_334>": 50603,
+  "<loc_335>": 50604,
+  "<loc_336>": 50605,
+  "<loc_337>": 50606,
+  "<loc_338>": 50607,
+  "<loc_339>": 50608,
+  "<loc_33>": 50302,
+  "<loc_340>": 50609,
+  "<loc_341>": 50610,
+  "<loc_342>": 50611,
+  "<loc_343>": 50612,
+  "<loc_344>": 50613,
+  "<loc_345>": 50614,
+  "<loc_346>": 50615,
+  "<loc_347>": 50616,
+  "<loc_348>": 50617,
+  "<loc_349>": 50618,
+  "<loc_34>": 50303,
+  "<loc_350>": 50619,
+  "<loc_351>": 50620,
+  "<loc_352>": 50621,
+  "<loc_353>": 50622,
+  "<loc_354>": 50623,
+  "<loc_355>": 50624,
+  "<loc_356>": 50625,
+  "<loc_357>": 50626,
+  "<loc_358>": 50627,
+  "<loc_359>": 50628,
+  "<loc_35>": 50304,
+  "<loc_360>": 50629,
+  "<loc_361>": 50630,
+  "<loc_362>": 50631,
+  "<loc_363>": 50632,
+  "<loc_364>": 50633,
+  "<loc_365>": 50634,
+  "<loc_366>": 50635,
+  "<loc_367>": 50636,
+  "<loc_368>": 50637,
+  "<loc_369>": 50638,
+  "<loc_36>": 50305,
+  "<loc_370>": 50639,
+  "<loc_371>": 50640,
+  "<loc_372>": 50641,
+  "<loc_373>": 50642,
+  "<loc_374>": 50643,
+  "<loc_375>": 50644,
+  "<loc_376>": 50645,
+  "<loc_377>": 50646,
+  "<loc_378>": 50647,
+  "<loc_379>": 50648,
+  "<loc_37>": 50306,
+  "<loc_380>": 50649,
+  "<loc_381>": 50650,
+  "<loc_382>": 50651,
+  "<loc_383>": 50652,
+  "<loc_384>": 50653,
+  "<loc_385>": 50654,
+  "<loc_386>": 50655,
+  "<loc_387>": 50656,
+  "<loc_388>": 50657,
+  "<loc_389>": 50658,
+  "<loc_38>": 50307,
+  "<loc_390>": 50659,
+  "<loc_391>": 50660,
+  "<loc_392>": 50661,
+  "<loc_393>": 50662,
+  "<loc_394>": 50663,
+  "<loc_395>": 50664,
+  "<loc_396>": 50665,
+  "<loc_397>": 50666,
+  "<loc_398>": 50667,
+  "<loc_399>": 50668,
+  "<loc_39>": 50308,
+  "<loc_3>": 50272,
+  "<loc_400>": 50669,
+  "<loc_401>": 50670,
+  "<loc_402>": 50671,
+  "<loc_403>": 50672,
+  "<loc_404>": 50673,
+  "<loc_405>": 50674,
+  "<loc_406>": 50675,
+  "<loc_407>": 50676,
+  "<loc_408>": 50677,
+  "<loc_409>": 50678,
+  "<loc_40>": 50309,
+  "<loc_410>": 50679,
+  "<loc_411>": 50680,
+  "<loc_412>": 50681,
+  "<loc_413>": 50682,
+  "<loc_414>": 50683,
+  "<loc_415>": 50684,
+  "<loc_416>": 50685,
+  "<loc_417>": 50686,
+  "<loc_418>": 50687,
+  "<loc_419>": 50688,
+  "<loc_41>": 50310,
+  "<loc_420>": 50689,
+  "<loc_421>": 50690,
+  "<loc_422>": 50691,
+  "<loc_423>": 50692,
+  "<loc_424>": 50693,
+  "<loc_425>": 50694,
+  "<loc_426>": 50695,
+  "<loc_427>": 50696,
+  "<loc_428>": 50697,
+  "<loc_429>": 50698,
+  "<loc_42>": 50311,
+  "<loc_430>": 50699,
+  "<loc_431>": 50700,
+  "<loc_432>": 50701,
+  "<loc_433>": 50702,
+  "<loc_434>": 50703,
+  "<loc_435>": 50704,
+  "<loc_436>": 50705,
+  "<loc_437>": 50706,
+  "<loc_438>": 50707,
+  "<loc_439>": 50708,
+  "<loc_43>": 50312,
+  "<loc_440>": 50709,
+  "<loc_441>": 50710,
+  "<loc_442>": 50711,
+  "<loc_443>": 50712,
+  "<loc_444>": 50713,
+  "<loc_445>": 50714,
+  "<loc_446>": 50715,
+  "<loc_447>": 50716,
+  "<loc_448>": 50717,
+  "<loc_449>": 50718,
+  "<loc_44>": 50313,
+  "<loc_450>": 50719,
+  "<loc_451>": 50720,
+  "<loc_452>": 50721,
+  "<loc_453>": 50722,
+  "<loc_454>": 50723,
+  "<loc_455>": 50724,
+  "<loc_456>": 50725,
+  "<loc_457>": 50726,
+  "<loc_458>": 50727,
+  "<loc_459>": 50728,
+  "<loc_45>": 50314,
+  "<loc_460>": 50729,
+  "<loc_461>": 50730,
+  "<loc_462>": 50731,
+  "<loc_463>": 50732,
+  "<loc_464>": 50733,
+  "<loc_465>": 50734,
+  "<loc_466>": 50735,
+  "<loc_467>": 50736,
+  "<loc_468>": 50737,
+  "<loc_469>": 50738,
+  "<loc_46>": 50315,
+  "<loc_470>": 50739,
+  "<loc_471>": 50740,
+  "<loc_472>": 50741,
+  "<loc_473>": 50742,
+  "<loc_474>": 50743,
+  "<loc_475>": 50744,
+  "<loc_476>": 50745,
+  "<loc_477>": 50746,
+  "<loc_478>": 50747,
+  "<loc_479>": 50748,
+  "<loc_47>": 50316,
+  "<loc_480>": 50749,
+  "<loc_481>": 50750,
+  "<loc_482>": 50751,
+  "<loc_483>": 50752,
+  "<loc_484>": 50753,
+  "<loc_485>": 50754,
+  "<loc_486>": 50755,
+  "<loc_487>": 50756,
+  "<loc_488>": 50757,
+  "<loc_489>": 50758,
+  "<loc_48>": 50317,
+  "<loc_490>": 50759,
+  "<loc_491>": 50760,
+  "<loc_492>": 50761,
+  "<loc_493>": 50762,
+  "<loc_494>": 50763,
+  "<loc_495>": 50764,
+  "<loc_496>": 50765,
+  "<loc_497>": 50766,
+  "<loc_498>": 50767,
+  "<loc_499>": 50768,
+  "<loc_49>": 50318,
+  "<loc_4>": 50273,
+  "<loc_500>": 50769,
+  "<loc_501>": 50770,
+  "<loc_502>": 50771,
+  "<loc_503>": 50772,
+  "<loc_504>": 50773,
+  "<loc_505>": 50774,
+  "<loc_506>": 50775,
+  "<loc_507>": 50776,
+  "<loc_508>": 50777,
+  "<loc_509>": 50778,
+  "<loc_50>": 50319,
+  "<loc_510>": 50779,
+  "<loc_511>": 50780,
+  "<loc_512>": 50781,
+  "<loc_513>": 50782,
+  "<loc_514>": 50783,
+  "<loc_515>": 50784,
+  "<loc_516>": 50785,
+  "<loc_517>": 50786,
+  "<loc_518>": 50787,
+  "<loc_519>": 50788,
+  "<loc_51>": 50320,
+  "<loc_520>": 50789,
+  "<loc_521>": 50790,
+  "<loc_522>": 50791,
+  "<loc_523>": 50792,
+  "<loc_524>": 50793,
+  "<loc_525>": 50794,
+  "<loc_526>": 50795,
+  "<loc_527>": 50796,
+  "<loc_528>": 50797,
+  "<loc_529>": 50798,
+  "<loc_52>": 50321,
+  "<loc_530>": 50799,
+  "<loc_531>": 50800,
+  "<loc_532>": 50801,
+  "<loc_533>": 50802,
+  "<loc_534>": 50803,
+  "<loc_535>": 50804,
+  "<loc_536>": 50805,
+  "<loc_537>": 50806,
+  "<loc_538>": 50807,
+  "<loc_539>": 50808,
+  "<loc_53>": 50322,
+  "<loc_540>": 50809,
+  "<loc_541>": 50810,
+  "<loc_542>": 50811,
+  "<loc_543>": 50812,
+  "<loc_544>": 50813,
+  "<loc_545>": 50814,
+  "<loc_546>": 50815,
+  "<loc_547>": 50816,
+  "<loc_548>": 50817,
+  "<loc_549>": 50818,
+  "<loc_54>": 50323,
+  "<loc_550>": 50819,
+  "<loc_551>": 50820,
+  "<loc_552>": 50821,
+  "<loc_553>": 50822,
+  "<loc_554>": 50823,
+  "<loc_555>": 50824,
+  "<loc_556>": 50825,
+  "<loc_557>": 50826,
+  "<loc_558>": 50827,
+  "<loc_559>": 50828,
+  "<loc_55>": 50324,
+  "<loc_560>": 50829,
+  "<loc_561>": 50830,
+  "<loc_562>": 50831,
+  "<loc_563>": 50832,
+  "<loc_564>": 50833,
+  "<loc_565>": 50834,
+  "<loc_566>": 50835,
+  "<loc_567>": 50836,
+  "<loc_568>": 50837,
+  "<loc_569>": 50838,
+  "<loc_56>": 50325,
+  "<loc_570>": 50839,
+  "<loc_571>": 50840,
+  "<loc_572>": 50841,
+  "<loc_573>": 50842,
+  "<loc_574>": 50843,
+  "<loc_575>": 50844,
+  "<loc_576>": 50845,
+  "<loc_577>": 50846,
+  "<loc_578>": 50847,
+  "<loc_579>": 50848,
+  "<loc_57>": 50326,
+  "<loc_580>": 50849,
+  "<loc_581>": 50850,
+  "<loc_582>": 50851,
+  "<loc_583>": 50852,
+  "<loc_584>": 50853,
+  "<loc_585>": 50854,
+  "<loc_586>": 50855,
+  "<loc_587>": 50856,
+  "<loc_588>": 50857,
+  "<loc_589>": 50858,
+  "<loc_58>": 50327,
+  "<loc_590>": 50859,
+  "<loc_591>": 50860,
+  "<loc_592>": 50861,
+  "<loc_593>": 50862,
+  "<loc_594>": 50863,
+  "<loc_595>": 50864,
+  "<loc_596>": 50865,
+  "<loc_597>": 50866,
+  "<loc_598>": 50867,
+  "<loc_599>": 50868,
+  "<loc_59>": 50328,
+  "<loc_5>": 50274,
+  "<loc_600>": 50869,
+  "<loc_601>": 50870,
+  "<loc_602>": 50871,
+  "<loc_603>": 50872,
+  "<loc_604>": 50873,
+  "<loc_605>": 50874,
+  "<loc_606>": 50875,
+  "<loc_607>": 50876,
+  "<loc_608>": 50877,
+  "<loc_609>": 50878,
+  "<loc_60>": 50329,
+  "<loc_610>": 50879,
+  "<loc_611>": 50880,
+  "<loc_612>": 50881,
+  "<loc_613>": 50882,
+  "<loc_614>": 50883,
+  "<loc_615>": 50884,
+  "<loc_616>": 50885,
+  "<loc_617>": 50886,
+  "<loc_618>": 50887,
+  "<loc_619>": 50888,
+  "<loc_61>": 50330,
+  "<loc_620>": 50889,
+  "<loc_621>": 50890,
+  "<loc_622>": 50891,
+  "<loc_623>": 50892,
+  "<loc_624>": 50893,
+  "<loc_625>": 50894,
+  "<loc_626>": 50895,
+  "<loc_627>": 50896,
+  "<loc_628>": 50897,
+  "<loc_629>": 50898,
+  "<loc_62>": 50331,
+  "<loc_630>": 50899,
+  "<loc_631>": 50900,
+  "<loc_632>": 50901,
+  "<loc_633>": 50902,
+  "<loc_634>": 50903,
+  "<loc_635>": 50904,
+  "<loc_636>": 50905,
+  "<loc_637>": 50906,
+  "<loc_638>": 50907,
+  "<loc_639>": 50908,
+  "<loc_63>": 50332,
+  "<loc_640>": 50909,
+  "<loc_641>": 50910,
+  "<loc_642>": 50911,
+  "<loc_643>": 50912,
+  "<loc_644>": 50913,
+  "<loc_645>": 50914,
+  "<loc_646>": 50915,
+  "<loc_647>": 50916,
+  "<loc_648>": 50917,
+  "<loc_649>": 50918,
+  "<loc_64>": 50333,
+  "<loc_650>": 50919,
+  "<loc_651>": 50920,
+  "<loc_652>": 50921,
+  "<loc_653>": 50922,
+  "<loc_654>": 50923,
+  "<loc_655>": 50924,
+  "<loc_656>": 50925,
+  "<loc_657>": 50926,
+  "<loc_658>": 50927,
+  "<loc_659>": 50928,
+  "<loc_65>": 50334,
+  "<loc_660>": 50929,
+  "<loc_661>": 50930,
+  "<loc_662>": 50931,
+  "<loc_663>": 50932,
+  "<loc_664>": 50933,
+  "<loc_665>": 50934,
+  "<loc_666>": 50935,
+  "<loc_667>": 50936,
+  "<loc_668>": 50937,
+  "<loc_669>": 50938,
+  "<loc_66>": 50335,
+  "<loc_670>": 50939,
+  "<loc_671>": 50940,
+  "<loc_672>": 50941,
+  "<loc_673>": 50942,
+  "<loc_674>": 50943,
+  "<loc_675>": 50944,
+  "<loc_676>": 50945,
+  "<loc_677>": 50946,
+  "<loc_678>": 50947,
+  "<loc_679>": 50948,
+  "<loc_67>": 50336,
+  "<loc_680>": 50949,
+  "<loc_681>": 50950,
+  "<loc_682>": 50951,
+  "<loc_683>": 50952,
+  "<loc_684>": 50953,
+  "<loc_685>": 50954,
+  "<loc_686>": 50955,
+  "<loc_687>": 50956,
+  "<loc_688>": 50957,
+  "<loc_689>": 50958,
+  "<loc_68>": 50337,
+  "<loc_690>": 50959,
+  "<loc_691>": 50960,
+  "<loc_692>": 50961,
+  "<loc_693>": 50962,
+  "<loc_694>": 50963,
+  "<loc_695>": 50964,
+  "<loc_696>": 50965,
+  "<loc_697>": 50966,
+  "<loc_698>": 50967,
+  "<loc_699>": 50968,
+  "<loc_69>": 50338,
+  "<loc_6>": 50275,
+  "<loc_700>": 50969,
+  "<loc_701>": 50970,
+  "<loc_702>": 50971,
+  "<loc_703>": 50972,
+  "<loc_704>": 50973,
+  "<loc_705>": 50974,
+  "<loc_706>": 50975,
+  "<loc_707>": 50976,
+  "<loc_708>": 50977,
+  "<loc_709>": 50978,
+  "<loc_70>": 50339,
+  "<loc_710>": 50979,
+  "<loc_711>": 50980,
+  "<loc_712>": 50981,
+  "<loc_713>": 50982,
+  "<loc_714>": 50983,
+  "<loc_715>": 50984,
+  "<loc_716>": 50985,
+  "<loc_717>": 50986,
+  "<loc_718>": 50987,
+  "<loc_719>": 50988,
+  "<loc_71>": 50340,
+  "<loc_720>": 50989,
+  "<loc_721>": 50990,
+  "<loc_722>": 50991,
+  "<loc_723>": 50992,
+  "<loc_724>": 50993,
+  "<loc_725>": 50994,
+  "<loc_726>": 50995,
+  "<loc_727>": 50996,
+  "<loc_728>": 50997,
+  "<loc_729>": 50998,
+  "<loc_72>": 50341,
+  "<loc_730>": 50999,
+  "<loc_731>": 51000,
+  "<loc_732>": 51001,
+  "<loc_733>": 51002,
+  "<loc_734>": 51003,
+  "<loc_735>": 51004,
+  "<loc_736>": 51005,
+  "<loc_737>": 51006,
+  "<loc_738>": 51007,
+  "<loc_739>": 51008,
+  "<loc_73>": 50342,
+  "<loc_740>": 51009,
+  "<loc_741>": 51010,
+  "<loc_742>": 51011,
+  "<loc_743>": 51012,
+  "<loc_744>": 51013,
+  "<loc_745>": 51014,
+  "<loc_746>": 51015,
+  "<loc_747>": 51016,
+  "<loc_748>": 51017,
+  "<loc_749>": 51018,
+  "<loc_74>": 50343,
+  "<loc_750>": 51019,
+  "<loc_751>": 51020,
+  "<loc_752>": 51021,
+  "<loc_753>": 51022,
+  "<loc_754>": 51023,
+  "<loc_755>": 51024,
+  "<loc_756>": 51025,
+  "<loc_757>": 51026,
+  "<loc_758>": 51027,
+  "<loc_759>": 51028,
+  "<loc_75>": 50344,
+  "<loc_760>": 51029,
+  "<loc_761>": 51030,
+  "<loc_762>": 51031,
+  "<loc_763>": 51032,
+  "<loc_764>": 51033,
+  "<loc_765>": 51034,
+  "<loc_766>": 51035,
+  "<loc_767>": 51036,
+  "<loc_768>": 51037,
+  "<loc_769>": 51038,
+  "<loc_76>": 50345,
+  "<loc_770>": 51039,
+  "<loc_771>": 51040,
+  "<loc_772>": 51041,
+  "<loc_773>": 51042,
+  "<loc_774>": 51043,
+  "<loc_775>": 51044,
+  "<loc_776>": 51045,
+  "<loc_777>": 51046,
+  "<loc_778>": 51047,
+  "<loc_779>": 51048,
+  "<loc_77>": 50346,
+  "<loc_780>": 51049,
+  "<loc_781>": 51050,
+  "<loc_782>": 51051,
+  "<loc_783>": 51052,
+  "<loc_784>": 51053,
+  "<loc_785>": 51054,
+  "<loc_786>": 51055,
+  "<loc_787>": 51056,
+  "<loc_788>": 51057,
+  "<loc_789>": 51058,
+  "<loc_78>": 50347,
+  "<loc_790>": 51059,
+  "<loc_791>": 51060,
+  "<loc_792>": 51061,
+  "<loc_793>": 51062,
+  "<loc_794>": 51063,
+  "<loc_795>": 51064,
+  "<loc_796>": 51065,
+  "<loc_797>": 51066,
+  "<loc_798>": 51067,
+  "<loc_799>": 51068,
+  "<loc_79>": 50348,
+  "<loc_7>": 50276,
+  "<loc_800>": 51069,
+  "<loc_801>": 51070,
+  "<loc_802>": 51071,
+  "<loc_803>": 51072,
+  "<loc_804>": 51073,
+  "<loc_805>": 51074,
+  "<loc_806>": 51075,
+  "<loc_807>": 51076,
+  "<loc_808>": 51077,
+  "<loc_809>": 51078,
+  "<loc_80>": 50349,
+  "<loc_810>": 51079,
+  "<loc_811>": 51080,
+  "<loc_812>": 51081,
+  "<loc_813>": 51082,
+  "<loc_814>": 51083,
+  "<loc_815>": 51084,
+  "<loc_816>": 51085,
+  "<loc_817>": 51086,
+  "<loc_818>": 51087,
+  "<loc_819>": 51088,
+  "<loc_81>": 50350,
+  "<loc_820>": 51089,
+  "<loc_821>": 51090,
+  "<loc_822>": 51091,
+  "<loc_823>": 51092,
+  "<loc_824>": 51093,
+  "<loc_825>": 51094,
+  "<loc_826>": 51095,
+  "<loc_827>": 51096,
+  "<loc_828>": 51097,
+  "<loc_829>": 51098,
+  "<loc_82>": 50351,
+  "<loc_830>": 51099,
+  "<loc_831>": 51100,
+  "<loc_832>": 51101,
+  "<loc_833>": 51102,
+  "<loc_834>": 51103,
+  "<loc_835>": 51104,
+  "<loc_836>": 51105,
+  "<loc_837>": 51106,
+  "<loc_838>": 51107,
+  "<loc_839>": 51108,
+  "<loc_83>": 50352,
+  "<loc_840>": 51109,
+  "<loc_841>": 51110,
+  "<loc_842>": 51111,
+  "<loc_843>": 51112,
+  "<loc_844>": 51113,
+  "<loc_845>": 51114,
+  "<loc_846>": 51115,
+  "<loc_847>": 51116,
+  "<loc_848>": 51117,
+  "<loc_849>": 51118,
+  "<loc_84>": 50353,
+  "<loc_850>": 51119,
+  "<loc_851>": 51120,
+  "<loc_852>": 51121,
+  "<loc_853>": 51122,
+  "<loc_854>": 51123,
+  "<loc_855>": 51124,
+  "<loc_856>": 51125,
+  "<loc_857>": 51126,
+  "<loc_858>": 51127,
+  "<loc_859>": 51128,
+  "<loc_85>": 50354,
+  "<loc_860>": 51129,
+  "<loc_861>": 51130,
+  "<loc_862>": 51131,
+  "<loc_863>": 51132,
+  "<loc_864>": 51133,
+  "<loc_865>": 51134,
+  "<loc_866>": 51135,
+  "<loc_867>": 51136,
+  "<loc_868>": 51137,
+  "<loc_869>": 51138,
+  "<loc_86>": 50355,
+  "<loc_870>": 51139,
+  "<loc_871>": 51140,
+  "<loc_872>": 51141,
+  "<loc_873>": 51142,
+  "<loc_874>": 51143,
+  "<loc_875>": 51144,
+  "<loc_876>": 51145,
+  "<loc_877>": 51146,
+  "<loc_878>": 51147,
+  "<loc_879>": 51148,
+  "<loc_87>": 50356,
+  "<loc_880>": 51149,
+  "<loc_881>": 51150,
+  "<loc_882>": 51151,
+  "<loc_883>": 51152,
+  "<loc_884>": 51153,
+  "<loc_885>": 51154,
+  "<loc_886>": 51155,
+  "<loc_887>": 51156,
+  "<loc_888>": 51157,
+  "<loc_889>": 51158,
+  "<loc_88>": 50357,
+  "<loc_890>": 51159,
+  "<loc_891>": 51160,
+  "<loc_892>": 51161,
+  "<loc_893>": 51162,
+  "<loc_894>": 51163,
+  "<loc_895>": 51164,
+  "<loc_896>": 51165,
+  "<loc_897>": 51166,
+  "<loc_898>": 51167,
+  "<loc_899>": 51168,
+  "<loc_89>": 50358,
+  "<loc_8>": 50277,
+  "<loc_900>": 51169,
+  "<loc_901>": 51170,
+  "<loc_902>": 51171,
+  "<loc_903>": 51172,
+  "<loc_904>": 51173,
+  "<loc_905>": 51174,
+  "<loc_906>": 51175,
+  "<loc_907>": 51176,
+  "<loc_908>": 51177,
+  "<loc_909>": 51178,
+  "<loc_90>": 50359,
+  "<loc_910>": 51179,
+  "<loc_911>": 51180,
+  "<loc_912>": 51181,
+  "<loc_913>": 51182,
+  "<loc_914>": 51183,
+  "<loc_915>": 51184,
+  "<loc_916>": 51185,
+  "<loc_917>": 51186,
+  "<loc_918>": 51187,
+  "<loc_919>": 51188,
+  "<loc_91>": 50360,
+  "<loc_920>": 51189,
+  "<loc_921>": 51190,
+  "<loc_922>": 51191,
+  "<loc_923>": 51192,
+  "<loc_924>": 51193,
+  "<loc_925>": 51194,
+  "<loc_926>": 51195,
+  "<loc_927>": 51196,
+  "<loc_928>": 51197,
+  "<loc_929>": 51198,
+  "<loc_92>": 50361,
+  "<loc_930>": 51199,
+  "<loc_931>": 51200,
+  "<loc_932>": 51201,
+  "<loc_933>": 51202,
+  "<loc_934>": 51203,
+  "<loc_935>": 51204,
+  "<loc_936>": 51205,
+  "<loc_937>": 51206,
+  "<loc_938>": 51207,
+  "<loc_939>": 51208,
+  "<loc_93>": 50362,
+  "<loc_940>": 51209,
+  "<loc_941>": 51210,
+  "<loc_942>": 51211,
+  "<loc_943>": 51212,
+  "<loc_944>": 51213,
+  "<loc_945>": 51214,
+  "<loc_946>": 51215,
+  "<loc_947>": 51216,
+  "<loc_948>": 51217,
+  "<loc_949>": 51218,
+  "<loc_94>": 50363,
+  "<loc_950>": 51219,
+  "<loc_951>": 51220,
+  "<loc_952>": 51221,
+  "<loc_953>": 51222,
+  "<loc_954>": 51223,
+  "<loc_955>": 51224,
+  "<loc_956>": 51225,
+  "<loc_957>": 51226,
+  "<loc_958>": 51227,
+  "<loc_959>": 51228,
+  "<loc_95>": 50364,
+  "<loc_960>": 51229,
+  "<loc_961>": 51230,
+  "<loc_962>": 51231,
+  "<loc_963>": 51232,
+  "<loc_964>": 51233,
+  "<loc_965>": 51234,
+  "<loc_966>": 51235,
+  "<loc_967>": 51236,
+  "<loc_968>": 51237,
+  "<loc_969>": 51238,
+  "<loc_96>": 50365,
+  "<loc_970>": 51239,
+  "<loc_971>": 51240,
+  "<loc_972>": 51241,
+  "<loc_973>": 51242,
+  "<loc_974>": 51243,
+  "<loc_975>": 51244,
+  "<loc_976>": 51245,
+  "<loc_977>": 51246,
+  "<loc_978>": 51247,
+  "<loc_979>": 51248,
+  "<loc_97>": 50366,
+  "<loc_980>": 51249,
+  "<loc_981>": 51250,
+  "<loc_982>": 51251,
+  "<loc_983>": 51252,
+  "<loc_984>": 51253,
+  "<loc_985>": 51254,
+  "<loc_986>": 51255,
+  "<loc_987>": 51256,
+  "<loc_988>": 51257,
+  "<loc_989>": 51258,
+  "<loc_98>": 50367,
+  "<loc_990>": 51259,
+  "<loc_991>": 51260,
+  "<loc_992>": 51261,
+  "<loc_993>": 51262,
+  "<loc_994>": 51263,
+  "<loc_995>": 51264,
+  "<loc_996>": 51265,
+  "<loc_997>": 51266,
+  "<loc_998>": 51267,
+  "<loc_999>": 51268,
+  "<loc_99>": 50368,
+  "<loc_9>": 50278,
+  "<ncap>": 51271,
+  "<ocr>": 50267,
+  "<od>": 50265,
+  "<poly>": 51286,
+  "<proposal>": 51284,
+  "<region_cap>": 51280,
+  "<region_to_desciption>": 51282,
+  "<seg>": 51277,
+  "<sep>": 51279
+}

config.json

@@ -0,0 +1,85 @@
+{
+  "_name_or_path": "florence2",
+  "architectures": [
+    "Florence2ForConditionalGeneration"
+  ],
+  "auto_map": {
+    "AutoConfig": "configuration_florence2.Florence2Config",
+    "AutoModelForCausalLM": "modeling_florence2.Florence2ForConditionalGeneration"
+  },
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "ignore_index": -100,
+  "model_type": "florence2",
+  "pad_token_id": 1,
+  "projection_dim": 1024,
+  "text_config": {
+      "vocab_size": 51289,
+      "activation_dropout": 0.1,
+      "activation_function": "gelu",
+      "add_bias_logits": false,
+      "add_final_layer_norm": false,
+      "attention_dropout": 0.1,
+      "bos_token_id": 0,
+      "classif_dropout": 0.1,
+      "classifier_dropout": 0.0,
+      "d_model": 1024,
+      "decoder_attention_heads": 16,
+      "decoder_ffn_dim": 4096,
+      "decoder_layerdrop": 0.0,
+      "decoder_layers": 12,
+      "decoder_start_token_id": 2,
+      "dropout": 0.1,
+      "early_stopping": true,
+      "encoder_attention_heads": 16,
+      "encoder_ffn_dim": 4096,
+      "encoder_layerdrop": 0.0,
+      "encoder_layers": 12,
+      "eos_token_id": 2,
+      "forced_eos_token_id": 2,
+      "forced_bos_token_id": 0,
+      "gradient_checkpointing": false,
+      "init_std": 0.02,
+      "is_encoder_decoder": true,
+      "label2id": {
+        "LABEL_0": 0,
+        "LABEL_1": 1,
+        "LABEL_2": 2
+      },
+      "max_position_embeddings": 1024,
+      "no_repeat_ngram_size": 3,
+      "normalize_before": false,
+      "num_hidden_layers": 12,
+      "pad_token_id": 1,
+      "scale_embedding": false,
+      "num_beams": 3
+  },
+  "vision_config": {
+    "model_type": "davit",
+    "drop_path_rate": 0.1,  
+    "patch_size": [7, 3, 3, 3],  
+    "patch_stride": [4, 2, 2, 2],  
+    "patch_padding": [3, 1, 1, 1],  
+    "patch_prenorm": [false, true, true, true],  
+    "enable_checkpoint": false,  
+    "dim_embed": [256, 512, 1024, 2048],  
+    "num_heads": [8, 16, 32, 64],  
+    "num_groups": [8, 16, 32, 64],  
+    "depths": [1, 1, 9, 1],  
+    "window_size": 12,
+    "projection_dim": 1024,
+    "visual_temporal_embedding": {
+        "type": "COSINE",
+        "max_temporal_embeddings": 100
+    },
+    "image_pos_embed": {
+        "type": "learned_abs_2d",
+        "max_pos_embeddings": 50
+    },
+    "image_feature_source": ["spatial_avg_pool", "temporal_avg_pool"]
+  },
+  "vocab_size": 51289,
+  "torch_dtype": "float16",
+  "transformers_version": "4.41.0.dev0",
+  "is_encoder_decoder": true
+}

configuration_florence2.py

@@ -0,0 +1,340 @@
+# coding=utf-8
+# Copyright 2024 Microsoft and the HuggingFace Inc. team. All rights reserved.
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import warnings
+""" Florence-2 configuration"""
+
+from typing import Optional
+
+from transformers import AutoConfig
+from transformers.configuration_utils import PretrainedConfig
+from transformers.utils import logging
+
+logger = logging.get_logger(__name__)
+
+class Florence2VisionConfig(PretrainedConfig):
+    r"""
+    This is the configuration class to store the configuration of a [`Florence2VisionModel`]. It is used to instantiate a Florence2VisionModel
+    according to the specified arguments, defining the model architecture. Instantiating a configuration with the 
+    defaults will yield a similar configuration to that of the Florence2VisionModel architecture.
+
+    Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
+    documentation from [`PretrainedConfig`] for more information.
+
+    Args:
+        drop_path_rate (`float`, *optional*, defaults to 0.1):
+            The dropout rate of the drop path layer.
+        patch_size (`List[int]`, *optional*, defaults to [7, 3, 3, 3]):
+            The patch size of the image.
+        patch_stride (`List[int]`, *optional*, defaults to [4, 2, 2, 2]):
+            The patch stride of the image.
+        patch_padding (`List[int]`, *optional*, defaults to [3, 1, 1, 1]):
+            The patch padding of the image.
+        patch_prenorm (`List[bool]`, *optional*, defaults to [false, true, true, true]):
+            Whether to apply layer normalization before the patch embedding layer.
+        enable_checkpoint (`bool`, *optional*, defaults to False):
+            Whether to enable checkpointing.
+        dim_embed (`List[int]`, *optional*, defaults to [256, 512, 1024, 2048]):
+            The dimension of the embedding layer.
+        num_heads (`List[int]`, *optional*, defaults to [8, 16, 32, 64]):
+            The number of attention heads.
+        num_groups (`List[int]`, *optional*, defaults to [8, 16, 32, 64]):
+            The number of groups.
+        depths (`List[int]`, *optional*, defaults to [1, 1, 9, 1]):
+            The depth of the model.
+        window_size (`int`, *optional*, defaults to 12):
+            The window size of the model.
+        projection_dim (`int`, *optional*, defaults to 1024):
+            The dimension of the projection layer.
+        visual_temporal_embedding (`dict`, *optional*):
+            The configuration of the visual temporal embedding.
+        image_pos_embed (`dict`, *optional*):
+            The configuration of the image position embedding.
+        image_feature_source (`List[str]`, *optional*, defaults to ["spatial_avg_pool", "temporal_avg_pool"]):
+            The source of the image feature.
+    Example:
+
+    ```python
+    >>> from transformers import Florence2VisionConfig, Florence2VisionModel
+
+    >>> # Initializing a Florence2 Vision style configuration
+    >>> configuration = Florence2VisionConfig()
+
+    >>> # Initializing a model (with random weights)
+    >>> model = Florence2VisionModel(configuration)
+
+    >>> # Accessing the model configuration
+    >>> configuration = model.config
+    ```"""
+
+    model_type = "florence2_vision"
+    keys_to_ignore_at_inference = ["past_key_values"]
+
+    def __init__(
+        self,
+        drop_path_rate=0.1,
+        patch_size=[7, 3, 3, 3],
+        patch_stride=[4, 2, 2, 2],
+        patch_padding=[3, 1, 1, 1],
+        patch_prenorm=[False, True, True, True],
+        enable_checkpoint=False,
+        dim_embed=[256, 512, 1024, 2048],
+        num_heads=[8, 16, 32, 64],
+        num_groups=[8, 16, 32, 64],
+        depths=[1, 1, 9, 1],
+        window_size=12,
+        projection_dim=1024,
+        visual_temporal_embedding=None,
+        image_pos_embed=None,
+        image_feature_source=["spatial_avg_pool", "temporal_avg_pool"],
+        **kwargs,
+    ):
+        self.drop_path_rate = drop_path_rate
+        self.patch_size = patch_size
+        self.patch_stride = patch_stride
+        self.patch_padding = patch_padding
+        self.patch_prenorm = patch_prenorm
+        self.enable_checkpoint = enable_checkpoint
+        self.dim_embed = dim_embed
+        self.num_heads = num_heads
+        self.num_groups = num_groups
+        self.depths = depths
+        self.window_size = window_size
+        self.projection_dim = projection_dim
+        self.visual_temporal_embedding = visual_temporal_embedding
+        self.image_pos_embed = image_pos_embed
+        self.image_feature_source = image_feature_source
+
+        super().__init__(**kwargs)
+
+
+
+class Florence2LanguageConfig(PretrainedConfig):
+    r"""
+    This is the configuration class to store the configuration of a [`Florence2LanguagePreTrainedModel`]. It is used to instantiate a BART
+    model according to the specified arguments, defining the model architecture. Instantiating a configuration with the
+    defaults will yield a similar configuration to that of the BART
+    [facebook/bart-large](https://huggingface.co/facebook/bart-large) architecture.
+
+    Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
+    documentation from [`PretrainedConfig`] for more information.
+
+
+    Args:
+        vocab_size (`int`, *optional*, defaults to 51289):
+            Vocabulary size of the Florence2Language model. Defines the number of different tokens that can be represented by the
+            `inputs_ids` passed when calling [`Florence2LanguageModel`].
+        d_model (`int`, *optional*, defaults to 1024):
+            Dimensionality of the layers and the pooler layer.
+        encoder_layers (`int`, *optional*, defaults to 12):
+            Number of encoder layers.
+        decoder_layers (`int`, *optional*, defaults to 12):
+            Number of decoder layers.
+        encoder_attention_heads (`int`, *optional*, defaults to 16):
+            Number of attention heads for each attention layer in the Transformer encoder.
+        decoder_attention_heads (`int`, *optional*, defaults to 16):
+            Number of attention heads for each attention layer in the Transformer decoder.
+        decoder_ffn_dim (`int`, *optional*, defaults to 4096):
+            Dimensionality of the "intermediate" (often named feed-forward) layer in decoder.
+        encoder_ffn_dim (`int`, *optional*, defaults to 4096):
+            Dimensionality of the "intermediate" (often named feed-forward) layer in decoder.
+        activation_function (`str` or `function`, *optional*, defaults to `"gelu"`):
+            The non-linear activation function (function or string) in the encoder and pooler. If string, `"gelu"`,
+            `"relu"`, `"silu"` and `"gelu_new"` are supported.
+        dropout (`float`, *optional*, defaults to 0.1):
+            The dropout probability for all fully connected layers in the embeddings, encoder, and pooler.
+        attention_dropout (`float`, *optional*, defaults to 0.0):
+            The dropout ratio for the attention probabilities.
+        activation_dropout (`float`, *optional*, defaults to 0.0):
+            The dropout ratio for activations inside the fully connected layer.
+        classifier_dropout (`float`, *optional*, defaults to 0.0):
+            The dropout ratio for classifier.
+        max_position_embeddings (`int`, *optional*, defaults to 1024):
+            The maximum sequence length that this model might ever be used with. Typically set this to something large
+            just in case (e.g., 512 or 1024 or 2048).
+        init_std (`float`, *optional*, defaults to 0.02):
+            The standard deviation of the truncated_normal_initializer for initializing all weight matrices.
+        encoder_layerdrop (`float`, *optional*, defaults to 0.0):
+            The LayerDrop probability for the encoder. See the [LayerDrop paper](see https://arxiv.org/abs/1909.11556)
+            for more details.
+        decoder_layerdrop (`float`, *optional*, defaults to 0.0):
+            The LayerDrop probability for the decoder. See the [LayerDrop paper](see https://arxiv.org/abs/1909.11556)
+            for more details.
+        scale_embedding (`bool`, *optional*, defaults to `False`):
+            Scale embeddings by diving by sqrt(d_model).
+        use_cache (`bool`, *optional*, defaults to `True`):
+            Whether or not the model should return the last key/values attentions (not used by all models).
+        num_labels (`int`, *optional*, defaults to 3):
+            The number of labels to use in [`Florence2LanguageForSequenceClassification`].
+        forced_eos_token_id (`int`, *optional*, defaults to 2):
+            The id of the token to force as the last generated token when `max_length` is reached. Usually set to
+            `eos_token_id`.
+
+    Example:
+
+    ```python
+    >>> from transformers import Florence2LanguageConfig, Florence2LanguageModel
+
+    >>> # Initializing a Florence2 Language style configuration
+    >>> configuration = Florence2LanguageConfig()
+
+    >>> # Initializing a model (with random weights)
+    >>> model = Florence2LangaugeModel(configuration)
+
+    >>> # Accessing the model configuration
+    >>> configuration = model.config
+    ```"""
+
+    model_type = "florence2_language"
+    keys_to_ignore_at_inference = ["past_key_values"]
+    attribute_map = {"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}
+
+    def __init__(
+        self,
+        vocab_size=51289,
+        max_position_embeddings=1024,
+        encoder_layers=12,
+        encoder_ffn_dim=4096,
+        encoder_attention_heads=16,
+        decoder_layers=12,
+        decoder_ffn_dim=4096,
+        decoder_attention_heads=16,
+        encoder_layerdrop=0.0,
+        decoder_layerdrop=0.0,
+        activation_function="gelu",
+        d_model=1024,
+        dropout=0.1,
+        attention_dropout=0.0,
+        activation_dropout=0.0,
+        init_std=0.02,
+        classifier_dropout=0.0,
+        scale_embedding=False,
+        use_cache=True,
+        num_labels=3,
+        pad_token_id=1,
+        bos_token_id=0,
+        eos_token_id=2,
+        is_encoder_decoder=True,
+        decoder_start_token_id=2,
+        forced_eos_token_id=2,
+        **kwargs,
+    ):
+        self.vocab_size = vocab_size
+        self.max_position_embeddings = max_position_embeddings
+        self.d_model = d_model
+        self.encoder_ffn_dim = encoder_ffn_dim
+        self.encoder_layers = encoder_layers
+        self.encoder_attention_heads = encoder_attention_heads
+        self.decoder_ffn_dim = decoder_ffn_dim
+        self.decoder_layers = decoder_layers
+        self.decoder_attention_heads = decoder_attention_heads
+        self.dropout = dropout
+        self.attention_dropout = attention_dropout
+        self.activation_dropout = activation_dropout
+        self.activation_function = activation_function
+        self.init_std = init_std
+        self.encoder_layerdrop = encoder_layerdrop
+        self.decoder_layerdrop = decoder_layerdrop
+        self.classifier_dropout = classifier_dropout
+        self.use_cache = use_cache
+        self.num_hidden_layers = encoder_layers
+        self.scale_embedding = scale_embedding  # scale factor will be sqrt(d_model) if True
+
+        super().__init__(
+            num_labels=num_labels,
+            pad_token_id=pad_token_id,
+            bos_token_id=bos_token_id,
+            eos_token_id=eos_token_id,
+            is_encoder_decoder=is_encoder_decoder,
+            decoder_start_token_id=decoder_start_token_id,
+            forced_eos_token_id=forced_eos_token_id,
+            **kwargs,
+        )
+
+        # ensure backward compatibility for BART CNN models
+        if self.forced_bos_token_id is None and kwargs.get("force_bos_token_to_be_generated", False):
+            self.forced_bos_token_id = self.bos_token_id
+            warnings.warn(
+                f"Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. "
+                "The config can simply be saved and uploaded again to be fixed."
+            )
+
+class Florence2Config(PretrainedConfig):
+    r"""
+    This is the configuration class to store the configuration of a [`Florence2ForConditionalGeneration`]. It is used to instantiate an
+    Florence-2 model according to the specified arguments, defining the model architecture. 
+
+    Configuration objects inherit from [`PretrainedConfig`] and can be used to control the model outputs. Read the
+    documentation from [`PretrainedConfig`] for more information.
+
+    Args:
+        vision_config (`Florence2VisionConfig`,  *optional*):
+            Custom vision config or dict
+        text_config (`Union[AutoConfig, dict]`, *optional*):
+            The config object of the text backbone. 
+        ignore_index (`int`, *optional*, defaults to -100):
+            The ignore index for the loss function.
+        vocab_size (`int`, *optional*, defaults to 51289):
+            Vocabulary size of the Florence2model. Defines the number of different tokens that can be represented by the
+            `inputs_ids` passed when calling [`~Florence2ForConditionalGeneration`]
+        projection_dim (`int`, *optional*, defaults to 1024):
+            Dimension of the multimodal projection space.
+
+    Example:
+
+    ```python
+    >>> from transformers import Florence2ForConditionalGeneration, Florence2Config, CLIPVisionConfig, BartConfig
+
+    >>> # Initializing a clip-like vision config
+    >>> vision_config = CLIPVisionConfig()
+
+    >>> # Initializing a Bart config
+    >>> text_config = BartConfig()
+
+    >>> # Initializing a Florence-2 configuration
+    >>> configuration = Florence2Config(vision_config, text_config)
+
+    >>> # Initializing a model from the florence-2 configuration
+    >>> model = Florence2ForConditionalGeneration(configuration)
+
+    >>> # Accessing the model configuration
+    >>> configuration = model.config
+    ```"""
+
+    model_type = "florence2"
+    is_composition = False
+
+    def __init__(
+        self,
+        vision_config=None,
+        text_config=None,
+        ignore_index=-100,
+        vocab_size=51289,
+        projection_dim=1024,
+        **kwargs,
+    ):
+        self.ignore_index = ignore_index
+        self.vocab_size = vocab_size
+        self.projection_dim = projection_dim
+        if vision_config is not None:
+            vision_config = PretrainedConfig(**vision_config)
+        self.vision_config = vision_config
+        self.vocab_size = self.vocab_size
+
+        self.text_config = text_config
+        if text_config is not None:
+            self.text_config = Florence2LanguageConfig(**text_config)
+
+
+        super().__init__(**kwargs)
+

preprocessor_config.json

@@ -0,0 +1,33 @@
+{
+  "auto_map": {
+    "AutoProcessor": "microsoft/Florence-2-large--processing_florence2.Florence2Processor"
+  },
+  "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
+  }
+}