Modelscope

Highlight
- Add Wenet model 35
- Add code generation and code translation from ZHIPU 33
- Hub support retry and continue-download after error
- Add five finetune tasks for ofa
- Add damoyolo-t and damoyolo-m
- Add dpm-solver for diffusion models
- Add image depth estimation pipeline
- Add en-zh en-es es-en base translation models
- Add GPT-3 tensor parallel finetuning

Feature

- Add five finetune tasks for ofa
- Add synonym for table question answering
- Add jupyter lab plugin in docker
- Add language_guided_video_summarization pipeline
- Add nlp/addr/structure and update token classificaiton related method
- Add damoyolo-t and damoyolo-m
- Add Wenet model 35
- Add code generation and code translation from ZHIPU 33
- Add camouflaged-detection
- Support batch inference in pipeline for some models
- Add table recognition task
- Add dpm-solver for diffusion models
- Ofa add asr task
- Add features for alimeeting competition dataset
- Add funasr based asr inference
- Add extractive-summarization and topic-segmentation
- Add image depth estimation pipeline
- Add en-zh en-es es-en base translation models
- Add gpt-moe model and pipeline
- Action-detection model predownload video before inference
- Add finetune for cv/language_guided_video_summarization
- Add plug finetune and pretrained model
- Support license plate detection
- Add nextvit-small_image-classification_Dailylife-labels model
- Add support for UniTE
- Add video human matting task
- Add LSTMCRFForWordSegmentation
- Add face mask model
- support new asr paraformer and conformer model
- Add GPT-3 tensor parallel finetuning
- Update image-portait-enhancement trainer
- Add FairFace face attribute model
- Add facial landmark confidence model

Improvements
- Hub support retry and continue-download after error
- Refactor NLP and fix some user feedbacks
- Speed up the ast indexing during editing
- Add tensorboard hook for visualization
- reduce the GPU usage of dialog trianer
- substitute face detection model in skin_retouching_pipeline.py
- update git-lfs install instruction

BugFix

- fix output video path when person detect failed For 3d_body_keypoints
- Fix lazy importing problem in text classification pipeline
- Fix bug for distributed inference of gpt3
- Fix bug for mplug evaluation
- token preprocess bug fix
- fix file encoding problem in windows
- fix deadlock when setting the thread number up to 90 for kws model
- fix bug in token classification postprecessor
- fix: torch.concat compatibility with torch1.8
- fix log print and extensions issue for datasets==2.5.2
- fix interpolate value error for vitadapter semantic segmentation
- nlp csanmt translation fix finetuning bug
- Fix a bug that the logging file cannot save the correct lr, which is zero instead
- fix bug of tableQA on gpu
- Fix bug for text generation task model
- fix download file timeout too short

Our first official version is released at November 1.

* Using one line code for inference using pipeline interface
* Using less than 10 lines of codes for finetuning using trainer
* Provide models covering NLP, CV, MultiModal, Audio and Science
* Provide up to 300 on-the-shelf models for convinient use