SmolVLM2 (#36126)

* smolvlm init

* updates

* fixing bugs

* minimal run, no checks

* minimal run, no checks

* passing first check + adding url support

* updating video dataloading logic

* fixing image logic

* trying modular, but fails

* modular is working, changing processor to match PR comments and general transformers logic

* fixing kwargs

* offloading video loading logic to  image_util

* fixing circleci code formatting errors

* fixing circleci code formatting errors

* fixing circleci code formatting errors

* fixing circleci code formatting errors

* fixing circleci code formatting errors

* fixing circleci code formatting errors

* fixing circleci code formatting errors

* fixing circleci code formatting errors

* fixing circleci code formatting errors

* fixing circleci code formatting errors

* fixing circleci code formatting errors

* fixing circleci code formatting errors

* fixing circleci code formatting errors

* fixing circleci code formatting errors

* update

* add idefics3-based tests

* add keyword to all

* add PreTrainedModel

* updateing video loading logic

* working inference

* updates for PR comments

* updates for PR comments

* moving SmolVLMPretrainedModel higher to fix import error

* CI test pass

* CI test pass

* removing lambda

* CI test pass

* CI test pass

* CI test pass

* CI test pass

* CI test pass

* CI test pass

* processor tests

* add example in docs

* typo

* fix copies

* skip compile tests - sdpa for VisionTransformer

* fix init

* raise import error for num2words

* update doc for FA2

* more doc fix

* CI

* updates for PR comments

* Update docs/source/en/model_doc/smolvlm.md

Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update docs/source/en/model_doc/smolvlm.md

Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update docs/source/en/model_doc/smolvlm.md

Co-authored-by: Joshua Lochner <admin@xenova.com>

* Update docs/source/en/model_doc/smolvlm.md

Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* Update docs/source/en/model_doc/smolvlm.md

Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* fixing processor -- tokenizer not defined properly, (gpt2 tokenizer), and does not have the attributes of fake image token, etc

* adding smolvlm to VQA models

* removing vqa auto class

* Update src/transformers/models/smolvlm/processing_smolvlm.py

Co-authored-by: Joshua Lochner <admin@xenova.com>

* removing smolvlmvisiontransformer from index.md

* my bad, video processing had typos

* fixing docs

* renaming params in SmolVLMModel.inputs_merger

* removing un-needed dtype/device in model forward

* ruff for CI

* update docs

* Update docs/source/en/model_doc/smolvlm.md

Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* return cache position

* return cache position

* return cache also in modular

* needed to run modular again

* fix training tests

* push vectorized inputs merger

* format

* format

* reduce number of mappings

* addressing PR comments

* happy CI, happy me :)

* skip non-nested images

* adjust integration test for smaller GPUs

* format

* fix kwargs in chat template apply

* skip this for now

---------

Co-authored-by: raushan <raushan@huggingface.co>
Co-authored-by: Pablo <pablo.montalvo.leroux@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>
Co-authored-by: Joshua Lochner <admin@xenova.com>

tests/models/idefics3/test_modeling_idefics3.py

@@ -193,6 +193,10 @@ class Idefics3ModelTest(ModelTesterMixin, unittest.TestCase):
     def test_flash_attn_2_inference_padding_right(self):
         pass
 
+    @unittest.skip(reason="Compile not yet supported in idefics3 models")
+    def test_sdpa_can_compile_dynamic(self):
+        pass
+
     # We need to override as we need to prepare such that the image token is the last token
     def test_resize_tokens_embeddings(self):
         (original_config, inputs_dict) = self.model_tester.prepare_config_and_inputs_for_common()
@@ -377,6 +381,10 @@ class Idefics3ForConditionalGenerationModelTest(GenerationTesterMixin, ModelTest
     def test_eager_matches_sdpa_generate(self):
         pass
 
+    @unittest.skip(reason="Compile not yet supported in Idefics3 models end-to-end")
+    def test_sdpa_can_compile_dynamic(self):
+        pass
+
     # We need to override as we need to prepare such that the image token is the last token
     def test_resize_tokens_embeddings(self):
         (original_config, inputs_dict) = self.model_tester.prepare_config_and_inputs_for_common()