- 02 Nov, 2021 1 commit
-
-
lumliolum authored
* add Beit model ouput class * inherting from BaseModelOuputWithPooling * updated docs if use_mean_pooling is False * added beit specific outputs in model docs * changed the import path * Fix docs Co-authored-by:Niels Rogge <niels.rogge1@gmail.com>
-
- 01 Nov, 2021 1 commit
-
-
NielsRogge authored
* Add first draft * Make forward pass work * Improve conversion script * Add notebook that checks if it works * Add BeitForSemanticSegmentation to the tests * More improvements * Make BeitForSemanticSegmentation consistent with Segformer * Small bug fix * Add BeitForSemanticSegmentation to docs * Make sure model doesn't output hidden states when the user doesn't want to * Make it possible to convert the large model * Fix issue * Fix conversion script for large model * Add auxiliary_head option to semantic segmentation model * Apply suggestions from @sgugger's review * Apply suggestions from code review * Fix failing test Co-authored-by:Lysandre <lysandre.debut@reseau.eseo.fr>
-
- 21 Sep, 2021 1 commit
-
-
Kamal Raj authored
* beit-flax * updated FLAX_BEIT_MLM_DOCSTRING * removed bool_masked_pos from classification * updated Copyright * code refactoring: x -> embeddings * updated test: rm from_pt * Update docs/source/model_doc/beit.rst * model code dtype updates and other changes according to review * relative_position_bias revert back to pytorch design
-
- 04 Aug, 2021 1 commit
-
-
NielsRogge authored
* First pass * Make conversion script work * Improve conversion script * Fix bug, conversion script working * Improve conversion script, implement BEiTFeatureExtractor * Make conversion script work based on URL * Improve conversion script * Add tests, add documentation * Fix bug in conversion script * Fix another bug * Add support for converting masked image modeling model * Add support for converting masked image modeling * Fix bug * Add print statement for debugging * Fix another bug * Make conversion script finally work for masked image modeling models * Move id2label for datasets to JSON files on the hub * Make sure id's are read in as integers * Add integration tests * Make style & quality * Fix test, add BEiT to README * Apply suggestions from @sgugger's review * Apply suggestions from code review * Make quality * Replace nielsr by microsoft in tests, add docs * Rename BEiT to Beit * Minor fix * Fix docs of BeitForMaskedImageModeling Co-authored-by:Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
-