mirror of
https://github.com/tencentmusic/cube-studio.git
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38 lines
1.4 KiB
JSON
38 lines
1.4 KiB
JSON
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{
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"tf-mnist": {
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"project_name": "public",
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"name": "mnist",
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"version": "v2022.08.01.1",
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"describe": "tf mnist 图像分类 tfserving推理",
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"path": "https://docker-76009.sz.gfp.tencent-cloud.com/github/cube-studio/inference/tf-mnist.tar.gz",
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"framework": "tf",
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"api_type": "tfserving"
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},
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"pytorch-resnet50": {
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"project_name": "public",
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"name": "resnet50",
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"version": "v2022.08.01.2",
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"describe": "pytorch resnet50 图像分类 torch-server推理",
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"path": "https://docker-76009.sz.gfp.tencent-cloud.com/github/cube-studio/inference/resnet50.mar",
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"framework": "pytorch",
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"api_type": "torch-server"
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},
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"torchscript-resnet50": {
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"project_name": "public",
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"name": "resnet50",
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"version": "v2022.08.01.3",
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"describe": "torchscript resnet50 图像分类 triton推理",
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"path": "https://docker-76009.sz.gfp.tencent-cloud.com/github/cube-studio/inference/resnet50-torchscript.pt",
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"framework": "pytorch",
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"api_type": "triton-server"
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},
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"onnx-resnet50": {
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"project_name": "public",
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"name": "resnet50",
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"version": "v2022.08.01.4",
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"describe": "onnx resnet50 图像分类 triton推理",
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"path": "https://docker-76009.sz.gfp.tencent-cloud.com/github/cube-studio/inference/resnet50.onnx",
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"framework": "onnx",
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"api_type": "triton-server"
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}
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}
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