mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-29 01:02:25 +06:00
![]() * Add CLIP image processor * Crop size as dict too * Update warning * Actually use logger this time * Normalize doesn't change dtype of input * Add perceiver image processor * Tidy up * Add DPT image processor * Add Vilt image processor * Tidy up * Add poolformer image processor * Tidy up * Add LayoutLM v2 and v3 imsge processors * Tidy up * Add Flava image processor * Tidy up * Add deit image processor * Tidy up * Add ConvNext image processor * Tidy up * Add levit image processor * Add segformer image processor * Add in post processing * Fix up * Add ImageGPT image processor * Fixup * Add mobilevit image processor * Tidy up * Add postprocessing * Fixup * Add VideoMAE image processor * Tidy up * Add ImageGPT image processor * Fixup * Add ViT image processor * Tidy up * Add beit image processor * Add mobilevit image processor * Tidy up * Add postprocessing * Fixup * Fix up * Fix flava and remove tree module * Fix image classification pipeline failing tests * Update feature extractor in trainer scripts * Update pad_if_smaller to accept tuple and int size * Update for image segmentation pipeline * Update src/transformers/models/perceiver/image_processing_perceiver.py Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com> * Update src/transformers/image_processing_utils.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/beit/image_processing_beit.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * PR comments - docstrings; remove accidentally added resize; var names * Update docstrings * Add exception if size is not in the right format * Fix exception check * Fix up * Use shortest_edge in tuple in script Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com> Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> |
||
---|---|---|
.. | ||
internal | ||
main_classes | ||
model_doc | ||
tasks | ||
_config.py | ||
_toctree.yml | ||
accelerate.mdx | ||
add_new_model.mdx | ||
add_new_pipeline.mdx | ||
add_tensorflow_model.mdx | ||
autoclass_tutorial.mdx | ||
benchmarks.mdx | ||
bertology.mdx | ||
big_models.mdx | ||
community.mdx | ||
contributing.md | ||
converting_tensorflow_models.mdx | ||
create_a_model.mdx | ||
custom_models.mdx | ||
debugging.mdx | ||
fast_tokenizers.mdx | ||
glossary.mdx | ||
hpo_train.mdx | ||
index.mdx | ||
installation.mdx | ||
migration.mdx | ||
model_sharing.mdx | ||
model_summary.mdx | ||
multilingual.mdx | ||
notebooks.md | ||
pad_truncation.mdx | ||
perf_hardware.mdx | ||
perf_infer_cpu.mdx | ||
perf_infer_gpu_many.mdx | ||
perf_infer_gpu_one.mdx | ||
perf_infer_special.mdx | ||
perf_train_cpu_many.mdx | ||
perf_train_cpu.mdx | ||
perf_train_gpu_many.mdx | ||
perf_train_gpu_one.mdx | ||
perf_train_special.mdx | ||
perf_train_tpu.mdx | ||
performance.mdx | ||
perplexity.mdx | ||
philosophy.mdx | ||
pipeline_tutorial.mdx | ||
pr_checks.mdx | ||
preprocessing.mdx | ||
quicktour.mdx | ||
run_scripts.mdx | ||
sagemaker.mdx | ||
serialization.mdx | ||
task_summary.mdx | ||
testing.mdx | ||
tokenizer_summary.mdx | ||
torchscript.mdx | ||
training.mdx | ||
troubleshooting.mdx |