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203e27059b
* Standardize image-text-to-text-models-output add post_process_image_text_to_text to chameleon and cleanup Fix legacy kwarg behavior and deprecation warning add post_process_image_text_to_text to qwen2_vl and llava_onevision Add post_process_image_text_to_text to idefics3, mllama, pixtral processor * nit var name post_process_image_text_to_text udop * nit fix deprecation warnings * Add image-text-to-text pipeline * add support for image url in chat template for pipeline * Reformat to be fully compatible with chat templates * Add tests chat template * Fix imports and tests * Add pipeline tag * change logic handling of single prompt ans multiple images * add pipeline mapping to models * fix batched inference * fix tests * Add manual batching for preprocessing * Fix outputs with nested images * Add support for all common processing kwargs * Add default padding when multiple text inputs (batch size>1) * nit change version deprecation warning * Add support for text only inference * add chat_template warnings * Add pipeline tests and add copied from post process function * Fix batched pipeline tests * nit * Fix pipeline tests blip2 * remove unnecessary max_new_tokens * revert processing kosmos2 and remove unnecessary max_new_tokens * fix pipeline tests idefics * Force try loading processor if pipeline supports it * revert load_processor change * hardcode loading only processor * remove unnecessary try except * skip imagetexttotext tests for kosmos2 as tiny model causes problems * Make code clearer * Address review comments * remove preprocessing logic from pipeline * fix fuyu * add BC resize fuyu * Move post_process_image_text_to_text to ProcessorMixin * add guard in post_process * fix zero shot object detection pipeline * add support for generator input in pipeline * nit * change default image-text-to-text model to llava onevision * fix owlv2 size dict * Change legacy deprecation warning to only show when True |
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| .. | ||
| internal | ||
| main_classes | ||
| model_doc | ||
| quantization | ||
| tasks | ||
| _config.py | ||
| _redirects.yml | ||
| _toctree.yml | ||
| accelerate.md | ||
| add_new_model.md | ||
| add_new_pipeline.md | ||
| agents_advanced.md | ||
| agents.md | ||
| attention.md | ||
| autoclass_tutorial.md | ||
| benchmarks.md | ||
| bertology.md | ||
| big_models.md | ||
| chat_templating.md | ||
| community.md | ||
| contributing.md | ||
| conversations.md | ||
| create_a_model.md | ||
| custom_models.md | ||
| debugging.md | ||
| deepspeed.md | ||
| fast_tokenizers.md | ||
| fsdp.md | ||
| generation_strategies.md | ||
| gguf.md | ||
| glossary.md | ||
| how_to_hack_models.md | ||
| hpo_train.md | ||
| index.md | ||
| installation.md | ||
| kv_cache.md | ||
| llm_optims.md | ||
| llm_tutorial_optimization.md | ||
| llm_tutorial.md | ||
| model_memory_anatomy.md | ||
| model_sharing.md | ||
| model_summary.md | ||
| modular_transformers.md | ||
| multilingual.md | ||
| notebooks.md | ||
| pad_truncation.md | ||
| peft.md | ||
| perf_hardware.md | ||
| perf_infer_cpu.md | ||
| perf_infer_gpu_one.md | ||
| perf_torch_compile.md | ||
| perf_train_cpu_many.md | ||
| perf_train_cpu.md | ||
| perf_train_gpu_many.md | ||
| perf_train_gpu_one.md | ||
| perf_train_special.md | ||
| perf_train_tpu_tf.md | ||
| performance.md | ||
| perplexity.md | ||
| philosophy.md | ||
| pipeline_tutorial.md | ||
| pipeline_webserver.md | ||
| pr_checks.md | ||
| preprocessing.md | ||
| quicktour.md | ||
| run_scripts.md | ||
| sagemaker.md | ||
| serialization.md | ||
| task_summary.md | ||
| tasks_explained.md | ||
| testing.md | ||
| tf_xla.md | ||
| tflite.md | ||
| tiktoken.md | ||
| tokenizer_summary.md | ||
| torchscript.md | ||
| trainer.md | ||
| training.md | ||
| troubleshooting.md | ||