GIT_LARGE_R_COCOfine-tuned on COCOCIDEr: 137.6 GIT_LARGE_R_TEXTCAPSfine-tuned on TextCaps for captioningval/CIDEr: 105.3 Inference on aTSVfile, which is a collection of multiple images. Data format (for information only) image TSV: Each row has two columns. The first is the image key; ...
Experiments demonstrate that solely due to the proposed encoding methods, DeiT and DETR obtain up to 1.5% (top-1 Acc) and 1.3% (mAP) stable improvements over their original versions on ImageNet and COCO respectively, without tuning any extra hyperparamters such as learning rate and weight ...
git clone https://github.com/microsoft/DialoGPT.gitcdDialoGPT conda env create -f LSP-linux.yml -n LSP conda activate LSP If you run this on an architecture other than Linux, please useLSP-generic.ymlinstead ofLSP-linux.ymlbut please note that the generic one is not tested in all platfor...
pip install -r requirements.txt We release the code of several research work:MusicBERT,PDAugment,CLaMP,DeepRapper,SongMASS,TeleMelody,ReLyMe,Re-creation of Creations (ROC),MeloForm,Museformer,GETMusic,MuseCoco, andMusicAgent. You can find the README in the corresponding folder for detailed instr...
found here:https://huggingface.co/nielsr/detr-table-detection. If you check the "files and versions" tab, it includes the weights. The model hub uses git-LFS (large file storage) to use Git with large files such as model weights. This means that any model has its own Gitcommit ...
DLA-34 COCO pretrained model:DLA-34 official. HRNetV2 ImageNet pretrained model:HRNetV2-W18 official,HRNetV2-W32 official. After downloading, you should put the pretrained models in the following structure: ${FAIRMOT_ROOT} └———models └———ctdet_coco_dla_2x.pth └———hrnetv2_w32_ima...
Hi folks! Impressive work :) as I really liked this work I decided to contribute it to 🤗 Transformers. Documentation can be found here: https://huggingface.co/docs/transformers/main/en/model_doc/git Users can now use GIT in a few lines o...
Swin Transformer achieves strong performance on COCO object detection (58.7 box AP and 51.1 mask AP on test-dev) and ADE20K semantic segmentation (53.5 mIoU on val), surpassing previous models by a large margin. Main Results on ImageNet with Pretrained Models ImageNet-1K and ImageNet-22K Pret...
gitcreds 0.1.2 glmnet 4.1-6 globals 0.16.2 glue 1.6.2 googledrive 2.0.0 googlesheets4 1.0.1 gower 1.0.1 graphics 4.2.2 grDevices 4.2.2 grid 4.2.2 gridExtra 2.3 gsubfn 0,7 gtable 0.3.1 hardhat 1.2.0 haven 2.5.1 highr 0.10 hms 1.1.2 htmltools 0.5.4 htmlwidgets 1.6.1 httpuv 1....
Swin Transformer achieves strong performance on COCO object detection (58.7 box APand51.1 mask APon test-dev) and ADE20K semantic segmentation (53.5 mIoUon val), surpassing previous models by a large margin. Main Results on ImageNet with Pretrained Models ...