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* Add files generated using transformer-cli add-new-model-like command * Add changes for swinv2 attention and forward method * Add fixes * Add modifications for weight conversion and remaining args in swin model * Add changes for patchmerging * Add changes for SwinV2selfattention * Update conversion script * Add final fixes for the swin_v2 model * Add changes for conversion script for pretrained window size case * Add pretrained window size value from config in SwinV2Encoder class * Make fixup * Add swinv2 to models_not_in_readme to utils/check_copies.py * Modify Swinv2v2 to Swin Transformer V2 * Remove copied from, to run make fixup command * Add updates to swinv2tf from main branch * Add pretrained_window_size to config, to make tests pass * Add modified weights from nandwalritik profile for swinv2 * Update model weights from swinv2 from nandwalritik profile * Add fix for build_pr_documentation CI fix * Add fixes for weight conversion * Add change to make input with padding work * Add fixes for test cases * Add few changes from swin to swinv2 to pass test cases * Remove tests for tensorflow as swinv2 for TF is not added yet * Overide test_pt_tf_model_equivalence function as TF implementation for swinv2 is not added yet * Add modeling_tf_swinv2 to _ignore_modules as test file is removed for this one right now. * Update docs url for swinv2 in README.md Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Undo changes for check_repo * Update url in readme.md * Remove overrided function to test pt_tf_model_equivalence * Remove TF model imports for Swinv2 as its not implemented in this PR * Add changes for index.mdx * Add swinv2 papers link,abstract and contributors details * Rename cpb_mlp to continous_position_bias_mlp * Add tips for swinv2 model * Update src/transformers/models/swinv2/configuration_swinv2.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update src/transformers/models/swinv2/configuration_swinv2.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Fix indentation for docstring example in src/transformers/models/swinv2/configuration_swinv2.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update import order in src/transformers/models/swinv2/configuration_swinv2.py Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Add copyright statements in weights conversion script. Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Remove Swinv2 from models_not_in_readme * Reformat code * Remove TF implementation file for swinv2 * Update start docstring. Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Add changes for docstring * Update orgname for weights to microsoft * Remove to_2tuple function * Add copied from statements wherever applicable * Add copied from to Swinv2ForMaskedImageModelling class * Reformat code. Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Add unittest.skip(with reason.) for test_inputs_embeds test case. Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Add updates for test_modeling_swinv2.py * Add @unittest.skip() annotation for clarity to create_and_test_config_common_properties function * Add continuous_position_bias_mlp parameter to conversion script * Add test for testing masked_image_modelling for swinv2 * Update Swinv2 to Swin Transformer v2 in docs/source/en/model_doc/swinv2.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update Swinv2 to Swin Transformer v2 in docs/source/en/model_doc/swinv2.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/swinv2.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Update docs/source/en/model_doc/swinv2.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> * Add suggested changes * Add copied from to forward methods of Swinv2Stage and Swinv2Encoder * Add push_to_hub flag to weight conversion script * Change order or Swinv2DropPath class * Add id2label mapping for imagenet 21k * Add updated url for SwinV2 functions and classes used in implementation * Update input_feature dimensions format, mentioned in comments. Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com> * Add suggested changes for modeling_swin2.py * Update docs * Remove create_and_test_config_common_properties function, as test_model_common_attributes is sufficient. * Fix indentation. Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * Add changes for making Nit objects in code style * Add suggested changes * Add suggested changes for test_modelling_swinv2 * make fix-copies * Update docs/source/en/model_doc/swinv2.mdx Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com> Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> |
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| .. | ||
| albert | ||
| auto | ||
| bart | ||
| barthez | ||
| bartpho | ||
| beit | ||
| bert | ||
| bert_generation | ||
| bert_japanese | ||
| bertweet | ||
| big_bird | ||
| bigbird_pegasus | ||
| blenderbot | ||
| blenderbot_small | ||
| bloom | ||
| bort | ||
| byt5 | ||
| camembert | ||
| canine | ||
| clip | ||
| codegen | ||
| convbert | ||
| convnext | ||
| cpm | ||
| ctrl | ||
| cvt | ||
| data2vec | ||
| deberta | ||
| deberta_v2 | ||
| decision_transformer | ||
| deit | ||
| detr | ||
| distilbert | ||
| dit | ||
| dpr | ||
| dpt | ||
| electra | ||
| encoder_decoder | ||
| flaubert | ||
| flava | ||
| fnet | ||
| fsmt | ||
| funnel | ||
| glpn | ||
| gpt_neo | ||
| gpt_neox | ||
| gpt2 | ||
| gptj | ||
| groupvit | ||
| herbert | ||
| hubert | ||
| ibert | ||
| imagegpt | ||
| layoutlm | ||
| layoutlmv2 | ||
| layoutlmv3 | ||
| layoutxlm | ||
| led | ||
| levit | ||
| longformer | ||
| longt5 | ||
| luke | ||
| lxmert | ||
| m2m_100 | ||
| marian | ||
| maskformer | ||
| mbart | ||
| mbart50 | ||
| mctct | ||
| megatron_bert | ||
| megatron_gpt2 | ||
| mluke | ||
| mobilebert | ||
| mobilevit | ||
| mpnet | ||
| mt5 | ||
| mvp | ||
| nezha | ||
| nllb | ||
| nystromformer | ||
| openai | ||
| opt | ||
| owlvit | ||
| pegasus | ||
| perceiver | ||
| phobert | ||
| plbart | ||
| poolformer | ||
| prophetnet | ||
| qdqbert | ||
| rag | ||
| realm | ||
| reformer | ||
| regnet | ||
| rembert | ||
| resnet | ||
| retribert | ||
| roberta | ||
| roformer | ||
| segformer | ||
| sew | ||
| sew_d | ||
| speech_encoder_decoder | ||
| speech_to_text | ||
| speech_to_text_2 | ||
| splinter | ||
| squeezebert | ||
| swin | ||
| swinv2 | ||
| t5 | ||
| tapas | ||
| tapex | ||
| trajectory_transformer | ||
| transfo_xl | ||
| trocr | ||
| unispeech | ||
| unispeech_sat | ||
| van | ||
| vilt | ||
| vision_encoder_decoder | ||
| vision_text_dual_encoder | ||
| visual_bert | ||
| vit | ||
| vit_mae | ||
| wav2vec2 | ||
| wav2vec2_conformer | ||
| wav2vec2_phoneme | ||
| wav2vec2_with_lm | ||
| wavlm | ||
| xglm | ||
| xlm | ||
| xlm_prophetnet | ||
| xlm_roberta | ||
| xlm_roberta_xl | ||
| xlnet | ||
| yolos | ||
| yoso | ||
| __init__.py | ||