diff --git a/model_zoo/official/cv/centerface/README.md b/model_zoo/official/cv/centerface/README.md index 99078107c7..14460d3370 100644 --- a/model_zoo/official/cv/centerface/README.md +++ b/model_zoo/official/cv/centerface/README.md @@ -78,7 +78,7 @@ other datasets need to use the same format as WiderFace. - Hardware（Ascend） - Prepare hardware environment with Ascend processor. If you want to try Ascend, please send the [application form](https://obs-9be7.obs.cn-east-2.myhuaweicloud.com/file/other/Ascend%20Model%20Zoo%E4%BD%93%E9%AA%8C%E8%B5%84%E6%BA%90%E7%94%B3%E8%AF%B7%E8%A1%A8.docx) to ascend@huawei.com. Once approved, you can get the resources. - Framework - - [MindSpore](https://cmc-szv.clouddragon.huawei.com/cmcversion/index/search?searchKey=Do-MindSpore%20V100R001C00B622) + - [MindSpore](https://www.mindspore.cn/install/en) - For more information, please check the resources below： - [MindSpore tutorials](https://www.mindspore.cn/tutorial/training/en/master/index.html) - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/en/master/index.html) diff --git a/model_zoo/official/nlp/fasttext/README.md b/model_zoo/official/nlp/fasttext/README.md index 682dedc349..276ac4c99d 100644 --- a/model_zoo/official/nlp/fasttext/README.md +++ b/model_zoo/official/nlp/fasttext/README.md @@ -1,4 +1,4 @@ -![](https://www.mindspore.cn/static/img/logo.a3e472c9.png) +![](https://www.mindspore.cn/static/img/logo_black.6a5c850d.png) diff --git a/model_zoo/official/nlp/gnmt_v2/README.md b/model_zoo/official/nlp/gnmt_v2/README.md index 64d2745073..e1311396e4 100644 --- a/model_zoo/official/nlp/gnmt_v2/README.md +++ b/model_zoo/official/nlp/gnmt_v2/README.md @@ -1,4 +1,4 @@ -![](https://www.mindspore.cn/static/img/logo.a3e472c9.png) +![](https://www.mindspore.cn/static/img/logo_black.6a5c850d.png) diff --git a/model_zoo/official/nlp/mass/README_CN.md b/model_zoo/official/nlp/mass/README_CN.md index e4e7e8ffd4..a07f812b44 100644 --- a/model_zoo/official/nlp/mass/README_CN.md +++ b/model_zoo/official/nlp/mass/README_CN.md @@ -47,7 +47,7 @@ BERT（Devlin等人，2018年）采用有屏蔽的语料丰富文本预训练Tra 受BERT、GPT及其他语言模型的启发，微软致力于在此基础上研究[掩式序列到序列（MASS）预训练语言生成](https://www.microsoft.com/en-us/research/uploads/prod/2019/06/MASS-paper-updated-002.pdf)。MASS的参数k很重要，用来控制屏蔽后的分片长度。BERT和GPT属于特例，k等于1或者句长。 -[MASS介绍 — 序列对序列语言生成任务中性能优于BERT和GPT的预训练方法](https://www.microsoft.com/en-us/research/blog/introduction-mass-a-pre-training-method-thing-forts-bert-and-gpt-in-sequence-to-sequence-language-generate-tasks/) +[MASS介绍 — 序列对序列语言生成任务中性能优于BERT和GPT的预训练方法](https://www.microsoft.com/en-us/research/blog/introducing-mass-a-pre-training-method-that-outperforms-bert-and-gpt-in-sequence-to-sequence-language-generation-tasks/) [论文](https://www.microsoft.com/en-us/research/uploads/prod/2019/06/MASS-paper-updated-002.pdf): Song, Kaitao, Xu Tan, Tao Qin, Jianfeng Lu and Tie-Yan Liu.“MASS: Masked Sequence to Sequence Pre-training for Language Generation.”ICML (2019). diff --git a/model_zoo/official/nlp/prophetnet/README.md b/model_zoo/official/nlp/prophetnet/README.md index 141b008584..b4f2a3c742 100644 --- a/model_zoo/official/nlp/prophetnet/README.md +++ b/model_zoo/official/nlp/prophetnet/README.md @@ -655,4 +655,4 @@ The model has been validated on Ascend environment, not validated on CPU and GPU # ModelZoo Homepage - [Link](https://gitee.com/mindspore/mindspore/tree/master/mindspore/model_zoo) + [Link](https://gitee.com/mindspore/mindspore/tree/master/model_zoo) diff --git a/model_zoo/research/audio/fcn-4/README.md b/model_zoo/research/audio/fcn-4/README.md index dfd0359599..5d0fe4ddff 100644 --- a/model_zoo/research/audio/fcn-4/README.md +++ b/model_zoo/research/audio/fcn-4/README.md @@ -192,7 +192,7 @@ Parameters for both training and evaluation can be set in config.py | Speed | 1pc: 160 samples/sec; | | Total time | 1pc: 20 mins; | | Checkpoint for Fine tuning | 198.73M(.ckpt file) | -| Scripts | [music_auto_tagging script](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/official/audio/fcn-4) | +| Scripts | [music_auto_tagging script](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/audio/fcn-4) | ## [ModelZoo Homepage](#contents) diff --git a/model_zoo/research/cv/centernet/README.md b/model_zoo/research/cv/centernet/README.md index cfc24b1cb2..2cd1a06a48 100644 --- a/model_zoo/research/cv/centernet/README.md +++ b/model_zoo/research/cv/centernet/README.md @@ -79,7 +79,7 @@ Dataset used: [COCO2017]() - Hardware（Ascend） - Prepare hardware environment with Ascend processor. If you want to try Ascend, please send the [application form](https://obs-9be7.obs.cn-east-2.myhuaweicloud.com/file/other/Ascend%20Model%20Zoo%E4%BD%93%E9%AA%8C%E8%B5%84%E6%BA%90%E7%94%B3%E8%AF%B7%E8%A1%A8.docx) to ascend@huawei.com. Once approved, you can get the resources. - Framework - - [MindSpore](https://cmc-szv.clouddragon.huawei.com/cmcversion/index/search?searchKey=Do-MindSpore%20V100R001C00B622) + - [MindSpore](https://www.mindspore.cn/install/en) - For more information, please check the resources below： - [MindSpore tutorials](https://www.mindspore.cn/tutorial/training/en/master/index.html) - [MindSpore Python API](https://www.mindspore.cn/doc/api_python/en/master/index.html)