* Ensure value and attn weights have the same dtype
* Remove prints
* Modify decision transformers copied from gpt2
* Nit device
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* Fix style
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
* Add serving_output and serving methods to some vision models
* Add serving outputs for DeiT
* Don't convert hidden states - differing shapes
* Make saveable
* Fix up
* Make swin saveable
* Add in tests
* Fix funnel tests (can't convert to tensor)
* Fix numpy call
* Tidy up a bit
* Add in hidden states - resnet
* Remove numpy
* Fix failing tests - tensor shape and skipping tests
* Remove duplicated function
* PR comments - formatting and var names
* PR comments
Add suggestions made by Joao Gante:
* Use tf.shape instead of shape_list
* Use @tooslow decorator on tests
* Simplify some of the logic
* PR comments
Address Yih-Dar Sheih comments - making tensor names consistent and make types float
* Types consistent with docs; disable test on swin (slow)
* CI trigger
* Change input_features to float32
* Add serving_output for segformer
* Fixup
Co-authored-by: Amy Roberts <amyeroberts@users.noreply.github.com>
* Change how `take_along_axis` is computed in DeBERTa to stop confusing XLA
* Greatly simplify take_along_axis() since the code wasn't using most of it
* First commit
* final changes
* Changed create_model to create_a_model
Translated into crea un'architettura personalizzata in the file it/_toctree.yml
* Added _toctree.yml in the italian translation loca: serialization title Esporta modelli transformers
* Edit translation for create_model.mdx
* t with '#' will be ignored, and an empty message aborts the commit.
* Added file serialization for translation in italian
* Fix toctree serialization position
I checked the eng toctree and realized I made a mistake.
* Update _toctree.yml
Correct spacing
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* add: segformer utils and img. classification.
* add: segmentation layer.
* feat: working implementation of segformer.
* chore: remove unused variable.
* add test, remaining modifications.
* remove: unnecessary files.
* add: rest of the files.
Co-authored-by: matt <rocketknight1@gmail.com>
* chore: remove ModuleList comment.
* chore: apply make style.
* chore: apply make fixup-copies.
* add to check_repo.py
* add decode head to IGNORE_NON_TESTED
* chore: run make style.
* chore: PR comments.
* chore: minor changes to model doc.
* tests: reduction across samples.
* add a note on the space.
* sort importats.
* fix: reduction in loss computation.
* chore: align loss function with that of NER.
* chore: correct utils/documentation_tests.txt
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* chore: simplify the interpolation of logits in loss computation.
* chore: return transposed logits when return_dict=False.
* chore: add link to the tf fine-tuning repo.
* address pr comments.
* address niels's comments.
* remove from_pt=True since tf weights are in.
* remove comment from pt model.
* address niels's comments.
Co-authored-by: matt <rocketknight1@gmail.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
* Run_scripts Italian translation gh-17459
* Updated run_scripts gh-17642
* Updated run_scripts gh-17642
Made the text more gender-neutral.
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* More informative error message
* raise dynamic error
* remove_excess_nesting application
* incorrect shape assertion for collator & function to remove excess nesting from DatasetDict
* formatting
* eliminating datasets import
* removed and relocated remove_excess_nesting to the datasets library and updated docs accordingly
* independent assert instructions
* inform user of excess nesting
* Add support for Sagemaker Model Parallel >= 1.10 new checkpoint API
* Support loading checkpoints saved with SMP < 1.10 in SMP < 1.10 and SMP >= 1.10
* Support loading checkpoints saved with SMP >= 1.10 in SMP >= 1.10
* Fix bug and styling
* Update based on reviewer feedback
* Initial work
* More work
* Add tests for custom pipelines on the Hub
* Protect import
* Make the test work for TF as well
* Last PyTorch specific bit
* Add documentation
* Style
* Title in toc
* Bad names!
* Update docs/source/en/add_new_pipeline.mdx
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
* Auto stash before merge of "custom_pipeline" and "origin/custom_pipeline"
* Address review comments
* Address more review comments
* Update src/transformers/pipelines/__init__.py
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>
