sameTaskTips1: 'You have created an <span>equivalent task</span> that is waiting or running, please wait for the task to finish before creating it.',
sameTaskTips0: 'You have created an <span>equivalent task</span> that is waiting or running, please wait for the task to finish before creating it.',
sameTaskTips1: 'You have created {count} <span>equivalent tasks</span> that are waiting or running, please wait for these task to finish before creating it.',
sameTaskTips2: 'You can view all your Cloud Brain tasks in <a href="/cloudbrains" target="_blank"> Home > Cloudbrain Task </a>.',
pathTips1: 'The code is storaged in <strong style="color:#010101">{code}</strong>, the dataset is storaged in <strong style="color:#010101">{dataset}</strong>, the pre-trained model is storaged in the run parameter <strong style="color:#010101">{model}</strong>, and please put your model into <strong style="color:#010101">{output}</strong> then you can download it online.',
pathTips11: 'The code is storaged in <strong style="color:#010101">{code}</strong>, the dataset is storaged in <strong style="color:#010101">{dataset}</strong>, the pre-trained model is storaged in the <strong style="color:#010101">{model}</strong>, and please put your model into <strong style="color:#010101">{output}</strong> then you can download it online.',
@@ -796,6 +797,15 @@ const en = {
cloudbrainTaskType: 'Task Type',
repo: 'Repository',
cloudbrainTaskName: 'Cloudbrain Name',
taskIsAutomaticStop: 'Task is automatic stop',
automaticStop: 'Automatic stop',
manualStop: 'Manual stop',
automaticStopTips: 'This task will automatically stop when the running time exceeds the time you have selected, or when the point balance is insufficient.',
manualStopTips: 'This task will be manually stopped by you or automatically stopped when your point balance is insufficient.',
customize: 'Customize',
numOfHours: '{num} hours',
customizeTimeLimitPlaceholder: 'Please enter an integer between 1 and 24',
},
superComputeObj: {
mmlSparkDescr: `The full name of MMLSpark is Microsoft Machine Learning for Apache Spark, which enables users to run customized container images and grants them root accesses within the container. Users can directly use Microsoft's MMLSpark provided by the platform.\nNote: MMLSpark is a Spark version provided by Microsoft for machine learning environments( <a target="_blank" href="https://github.com/Azure/mmlspark">https://github.com/Azure/mmlspark</a> )Regarding mmlspark, please refer to the following paper: <a target="_blank" href="https://arxiv.org/pdf/1810.08744.pdf">https://arxiv.org/pdf/1810.08744.pdf</a>`,
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