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Title: GitHub - Balaji-MP/modelscope: ModelScope: bring the notion of Model-as-a-Service to life.

Open Graph Title: GitHub - Balaji-MP/modelscope: ModelScope: bring the notion of Model-as-a-Service to life.

X Title: GitHub - Balaji-MP/modelscope: ModelScope: bring the notion of Model-as-a-Service to life.

Description: ModelScope: bring the notion of Model-as-a-Service to life. - Balaji-MP/modelscope

Open Graph Description: ModelScope: bring the notion of Model-as-a-Service to life. - Balaji-MP/modelscope

X Description: ModelScope: bring the notion of Model-as-a-Service to life. - Balaji-MP/modelscope

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https://patch-diff.githubusercontent.com/Balaji-MP/modelscope#------------english---------中文----
https://patch-diff.githubusercontent.com/Balaji-MP/modelscope#introduction
ModelScopehttps://www.modelscope.cn
https://patch-diff.githubusercontent.com/Balaji-MP/modelscope#models-and-online-accessibility
ModelScopehttps://www.modelscope.cn
modelscope.cnhttp://www.modelscope.cn
ModelScopehttps://www.modelscope.cn
https://patch-diff.githubusercontent.com/Balaji-MP/modelscope/blob/master/data/resource/inference.gif
nlp_gpt3_text-generation_2.7Bhttps://modelscope.cn/models/damo/nlp_gpt3_text-generation_2.7B
ChatYuan-largehttps://modelscope.cn/models/ClueAI/ChatYuan-large
mengzi-t5-basehttps://modelscope.cn/models/langboat/mengzi-t5-base
nlp_csanmt_translation_en2zhhttps://modelscope.cn/models/damo/nlp_csanmt_translation_en2zh
nlp_raner_named-entity-recognition_chinese-base-newshttps://modelscope.cn/models/damo/nlp_raner_named-entity-recognition_chinese-base-news
nlp_structbert_word-segmentation_chinese-basehttps://modelscope.cn/models/damo/nlp_structbert_word-segmentation_chinese-base
Erlangshen-RoBERTa-330M-Sentimenthttps://modelscope.cn/models/fengshenbang/Erlangshen-RoBERTa-330M-Sentiment
nlp_convai_text2sql_pretrain_cnhttps://modelscope.cn/models/damo/nlp_convai_text2sql_pretrain_cn
multi-modal_clip-vit-base-patch16_zhhttps://modelscope.cn/models/damo/multi-modal_clip-vit-base-patch16_zh
ofa_pretrain_base_zhhttps://modelscope.cn/models/damo/ofa_pretrain_base_zh
Taiyi-Stable-Diffusion-1B-Chinese-v0.1https://modelscope.cn/models/fengshenbang/Taiyi-Stable-Diffusion-1B-Chinese-v0.1
mplug_visual-question-answering_coco_large_enhttps://modelscope.cn/models/damo/mplug_visual-question-answering_coco_large_en
cv_controlnet_controllable-image-generation_nine-annotatorshttps://modelscope.cn/models/dienstag/cv_controlnet_controllable-image-generation_nine-annotators/summary
cv_tinynas_object-detection_damoyolohttps://modelscope.cn/models/damo/cv_tinynas_object-detection_damoyolo
cv_unet_person-image-cartoon_compound-modelshttps://modelscope.cn/models/damo/cv_unet_person-image-cartoon_compound-models
cv_convnextTiny_ocr-recognition-general_damohttps://modelscope.cn/models/damo/cv_convnextTiny_ocr-recognition-general_damo
cv_resnet18_human-detectionhttps://modelscope.cn/models/damo/cv_resnet18_human-detection
cv_resnet50_face-detection_retinafacehttps://modelscope.cn/models/damo/cv_resnet50_face-detection_retinaface
cv_unet_image-mattinghttps://modelscope.cn/models/damo/cv_unet_image-matting
cv_F3Net_product-segmentationhttps://modelscope.cn/models/damo/cv_F3Net_product-segmentation
cv_resnest101_general_recognitionhttps://modelscope.cn/models/damo/cv_resnest101_general_recognition
speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorchhttps://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch
speech_sambert-hifigan_tts_zh-cn_16khttps://modelscope.cn/models/damo/speech_sambert-hifigan_tts_zh-cn_16k
speech_charctc_kws_phone-xiaoyunhttps://modelscope.cn/models/damo/speech_charctc_kws_phone-xiaoyun
u2pp_conformer-asr-cn-16k-onlinehttps://modelscope.cn/models/wenet/u2pp_conformer-asr-cn-16k-online
speech_frcrn_ans_cirm_16khttps://modelscope.cn/models/damo/speech_frcrn_ans_cirm_16k
speech_dfsmn_aec_psm_16khttps://modelscope.cn/models/damo/speech_dfsmn_aec_psm_16k
uni-fold-monomerhttps://modelscope.cn/models/DPTech/uni-fold-monomer/summary
uni-fold-multimerhttps://modelscope.cn/models/DPTech/uni-fold-multimer/summary
www.modelscope.cnhttps://patch-diff.githubusercontent.com/Balaji-MP/modelscope/blob/master/www.modelscope.cn
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anacondahttps://docs.anaconda.com/anaconda/install/
dochttps://pytorch.org/get-started/locally/
dochttps://www.tensorflow.org/install/pip
doc linkhttps://github.com/bastibe/python-soundfile#installation
installation guidehttps://github.com/open-mmlab/mmcv#installation
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More detailed Installation Guidehttps://modelscope.cn/docs/%E7%8E%AF%E5%A2%83%E5%AE%89%E8%A3%85
Introduction to taskshttps://modelscope.cn/docs/%E4%BB%BB%E5%8A%A1%E7%9A%84%E4%BB%8B%E7%BB%8D
Use pipeline for model inferencehttps://modelscope.cn/docs/%E6%A8%A1%E5%9E%8B%E7%9A%84%E6%8E%A8%E7%90%86Pipeline
Finetuning examplehttps://modelscope.cn/docs/%E6%A8%A1%E5%9E%8B%E7%9A%84%E8%AE%AD%E7%BB%83Train
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Evaluationhttps://modelscope.cn/docs/%E6%A8%A1%E5%9E%8B%E7%9A%84%E8%AF%84%E4%BC%B0
Contribute your own model to ModelScopehttps://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88
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