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azure-machine-learning-examples
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A
cli\foundation-models\system\inference\mask-generation\prepare_data.py
1 2 3
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cli\foundation-models\system\inference\question-answering\question-answering-online-endpoint.sh
 1 3
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cli\foundation-models\system\inference\summarization\summarization-online-endpoint.sh
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cli\foundation-models\meta-llama-3\inference\meta-llama-3-8b-instruct\online-endpoint-deployment.sh
 1 3
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cli\jobs\pipelines\automl\image-multilabel-classification-fridge-items-pipeline\prepare_data.py
6 2 3
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cli\foundation-models\system\inference\image-to-text\image-to-text-batch-endpoint.sh
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cli\foundation-models\system\inference\image-embeddings\image-embeddings-batch-endpoint.sh
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cli\foundation-models\system\inference\image-to-text\prepare_data.py
3 2 3
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cli\jobs\pipelines\cifar-10\src\train-model\main.py
14 1 3
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cli\jobs\pipelines\automl\image-multiclass-classification-fridge-items-pipeline\prepare_data.py
5 2 3
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cli\jobs\pipelines\automl\image-instance-segmentation-task-fridge-items-pipeline\prepare_data.py
0 4 3
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cli\foundation-models\system\inference\image-object-detection\prepare_data.py
3 2 3
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cli\jobs\automl-standalone-jobs\cli-automl-image-instance-segmentation-task-fridge-items\prepare_data.py
0 4 3
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cli\foundation-models\system\inference\text-to-image\text-to-image-inpainting-online-endpoint.sh
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cli\deploy-custom-container-torchserve-densenet.sh
 1 3
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cli\deploy-moe-vnet-legacy.sh
 1 3
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cli\jobs\single-step\pytorch\cifar-distributed\src\train.py
16 1 3
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cli\jobs\pipelines-with-components\basics\6c_r_iris\docker-context\Dockerfile
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cli\foundation-models\system\inference\mask-generation\mask-generation-batch-endpoint.sh
 1 3
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cli\deploy-moe-vnet-mlflow-legacy.sh
 1 3