* first commit
* uncomment
* other tests adaptations
* Remove unused variable in test_setup_chat_format
* Remove unused import statement
* style
* Add Bart model
* Update BCOTrainerTester class in test_bco_trainer.py
* Update model IDs and tokenizers in test files
* Add new models and processors
* Update model IDs in test files
* Fix formatting issue in test_dataset_formatting.py
* Refactor dataset formatting in test_dataset_formatting.py
* Fix dataset sequence length in SFTTrainerTester
* Remove tokenizer
* Remove print statement
* Add reward_model_path and sft_model_path to PPO trainer
* Fix tokenizer padding issue
* Add chat template for testing purposes in PaliGemma model
* Update PaliGemma model and chat template
* Increase learning rate to speed up test
* Update model names in run_dpo.sh and run_sft.sh scripts
* Update model and dataset names
* Fix formatting issue in test_dataset_formatting.py
* Fix formatting issue in test_dataset_formatting.py
* Remove unused chat template
* Update model generation script
* additional models
* Update model references in test files
* Remove unused imports in test_online_dpo_trainer.py
* Add is_llm_blender_available import and update reward_tokenizer
* Refactor test_online_dpo_trainer.py: Move skipped test case decorator
* remove models without chat templates
* Update model names in scripts and tests
* Update model_id in test_modeling_value_head.py
* Update model versions in test files
* Fix formatting issue in test_dataset_formatting.py
* Update embedding model ID in BCOTrainerTester
* Update test_online_dpo_trainer.py with reward model changes
* Update expected formatted text in test_dataset_formatting.py
* Add reward_tokenizer to TestOnlineDPOTrainer
* fix tests
* Add SIMPLE_CHAT_TEMPLATE to T5 tokenizer
* Fix dummy_text format in test_rloo_trainer.py
* Skip outdated test for chatML data collator
* Add new vision language models
* Commented out unused model IDs in test_vdpo_trainer
* Update model and vision configurations in generate_tiny_models.py and test_dpo_trainer.py
* Update model and tokenizer references
* Don't push if it already exists
* Add comment explaining test skip
* Fix model_exists function call and add new models
* Update LlavaForConditionalGeneration model and processor
* `qgallouedec` -> `trl-internal-testing`
* Remove stray commas from test data
* Codemod Unittest assertions to bare asserts
* Make `assertAlmostEqual` tests more idiomatic
* DRY some test strings
* First draft of best-of-n sampler class
* Formatting
* Add best-of-n class to init
* Rearrange files
* Correction
* Make sure input query is in shape
* check for numpy.ndarray type
* Fix for shapes and types AND linter fixes
* Make reward pipeline a callback for more broader application
* Documentation for best-of-n sampler class usage
* Docs update for best-of-n class
* Doc fixes for best-of-n sampler class
* Remove colon from new addition
* Change user callback output type and associated side-effects of said change
* Relocate param because of collision
* Documentation update
* Make input param keyword easier to grasp
* Remove comments and add docstrings
* Tests and fixes for best_of_n sampler class
* Change input arg name
* Formatting
* Removed unnecessary cloning
