* add Blip2ForImageTextRetrieval
* use one line and remove unnecessary space in tests
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* use value from the config, rather than hardcoded
* change order of params in Blip2QFormerModel.forward
* update docstring
* fix style
* update test_inference_opt
* move embeddings out of Blip2QFormerModel
* remove from_vision_qformer_configs
* remove autocast float16 in Blip2QFormerModel
* rename fiels into vision_projection,text_projection,use_image_text_matching_head
* use CLIPOutput for Blip2ImageTextMatchingModelOutput
* remove past_key_values_length from Blip2TextEmbeddings
* fix small typo in the CLIPOutput docstring
* add Blip2ForImageTextRetrieval to Zero Shot Image Classification mapping
* update docstring and add require_torch_fp16
* rollback test_inference_opt
* use use_image_text_matching_head=True in convert
* skip test_model_get_set_embeddings
* fix create_rename_keys error on new itm fields
* revert to do scale after dot product between "query" and "key"
* fix ValueError on convert script for blip2-opt-2.7b
* update org of paths to Salesforce
* add is_pipeline_test_to_skip for VisualQuestionAnsweringPipelineTests
* [run_slow] blip_2
* removed Blip2ForImageTextRetrieval from IGNORE_NON_AUTO_CONFIGURED
* fix docstring of Blip2ImageTextMatchingModelOutput
* [run_slow] blip_2
* fix multi-gpu tests
* [run_slow] blip_2
* [run_slow] blip_2
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Very small change to one of the parameters
np.random.randint second parameter is not included in the possible options. Therefore, we want the upper range to be 2, so that we have some 1 labels in our classification as well.
* fix redundant checkpointing in example scripts
* Update examples/pytorch/image-classification/run_image_classification_no_trainer.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* Update examples/pytorch/translation/run_translation_no_trainer.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* Update examples/pytorch/token-classification/run_ner_no_trainer.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* Update examples/pytorch/text-classification/run_glue_no_trainer.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* Update examples/pytorch/summarization/run_summarization_no_trainer.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* Update examples/pytorch/semantic-segmentation/run_semantic_segmentation_no_trainer.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* Update examples/pytorch/language-modeling/run_mlm_no_trainer.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* Update examples/pytorch/language-modeling/run_fim_no_trainer.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* Update examples/pytorch/language-modeling/run_clm_no_trainer.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* Update examples/pytorch/image-pretraining/run_mim_no_trainer.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* Update examples/pytorch/instance-segmentation/run_instance_segmentation_no_trainer.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* Update examples/pytorch/multiple-choice/run_swag_no_trainer.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* Update examples/pytorch/question-answering/run_qa_no_trainer.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* Update examples/pytorch/object-detection/run_object_detection_no_trainer.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* Update examples/pytorch/question-answering/run_qa_beam_search_no_trainer.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
---------
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
* Add a fix for the case when tokenizers are passed as a string
* Support image processors and feature extractors as well
* Reverting load_feature_extractor and load_image_processor
* Add test
* Test is torch-only
* Add tests for preprocessors and feature extractors and move test
* Extremely experimental fix
* Revert that change, wrong branch!
* Typo!
* Split tests
* update ExportableState callbacks state before saving trainer_state on save_checkpoint
* run make fixup and fix format
* manage multiple stateful callbacks of same class
* Log additional test metrics with the CometCallback.
Also follow the same metric naming convention as other callbacks
* Merge 2 subsequent if-statements
* Trigger Build
---------
Co-authored-by: Aliaksandr Kuzmik <alexander.kuzmik99@gmail.com>
* fix param not being passed in tested; add exceptions
* better source of model name
* Update utils/create_dummy_models.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* fix: multilingual midel convert to tflite get wrong token
* fix: modify test_force_tokens_logits_processor the checking value as scores.dtype.min
---------
Co-authored-by: kent.sc.hung <kent.sc.hung@benq.com>
Co-authored-by: Aya <[kent831217@gmail.com]>
* Add changes for uroman package to handle non-Roman characters
* Update docs for uroman changes
* Modifying error message to warning, for backward compatibility
* Update instruction for user to install uroman
* Update docs for uroman python version dependency and backward compatibility
* Update warning message for python version compatibility with uroman
* Refine docs
* added doctring to SchedulerType class
* Remove trailing whitespace src/transformers/trainer_utils.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* fixup
---------
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
* Add new Jinja features:
- Do extension
- Break/continue in loops
- Call strftime to get current datetime in any format
* Add new Jinja features:
- Do extension
- Break/continue in loops
- Call strftime to get current datetime in any format
* Fix strftime template
* Add template strip() just to be safe
* Remove the do extension to make porting easier, and also because it's the least useful
* Rename test
* strftime -> strftime_now
* Split test
* Update test to use strftime_now
* Refactor everything out into chat_template_utils
* Refactor everything out into chat_template_utils
* Refactor everything out into chat_template_utils
* Refactor everything out into chat_template_utils
* Refactor everything out into chat_template_utils
* Add .float() in all generation methods logit outputs
* Switch float-casting of logits to training only for main models
* Add `num_logits_to_keep` in Llama and add it by default in generate
* Apply style
* Add num_logits_to_keep as arg in prepare_input_for_generation
* Add support for Mistral
* Revert models except llama and mistral
* Fix default None value in _supports_num_logits_to_keep()
* Fix dimension of dummy input
* Add exception for prophetnet in _supports_num_logits_to_keep()
* Update _supports_num_logits_to_keep() to use inspect.signature()
* Add deprecation cycle + remove modification with pretraining_tp
* Apply style
* Add most used models
* Apply style
* Make `num_logits_to_keep` an int in all cases to remove if-else clause
* Add compile check for the warning
* Fix torch versions
* style
* Add gemma2
* Update warning version
* Add comment about .float operations in generation utils
* Add tests in GenerationTesterMixin and ModelTesterMixin
* Fix batch size for assisted decoding in tests
* fix small issues in test
* refacor test
* fix slicing removing dim issue
* Add nemotron support (should fix check-copy issue in CIs)
* Trigger new CIs
* Trigger new CIs
* Bump version
* Bump version in TODO
* Trigger CIs
* remove blank space
* Trigger CIs
