# Make sure the id field in dataset-metadata.json (or datapackage.json) points to your dataset kaggle datasets init -p /path/to/dataset # create a new dataset version kaggle datasets version -p /path/to/dataset -m "Your message here" 1. 2. 3. 4. 5. Interacting with Notebooks # li...
YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies includingCUDA/CUDNN,PythonandPyTorchpreinstalled): Google Colab and Kagglenotebooks with free GPU: Google CloudDeep Learning VM. SeeGCP Quickstart Guide ...
YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies includingCUDA/CUDNN,PythonandPyTorchpreinstalled): Google Colab and Kagglenotebooks with free GPU: Google CloudDeep Learning VM. SeeGCP Quickstart Guide ...
这里还提供了网球模型训练的代码,大家可以使用Colab或Kaggle的免费GPU进行训练。 感兴趣的小伙伴,可以自行去学习下~
One of the most important aspects of running any machine learning program is the ability to pull in data from various sources and of various file types. In this tutorial I’ll walk you through how to pull various file types into notebooks using Python. ...
_in 最终可以在output_videos文件夹下看到结果。 结果如下所示。 这里还提供了网球模型训练的代码,大家可以使用Colab或Kaggle的免费GPU进行训练。 感兴趣的小伙伴,可以自行去学习下~
Environment: Python version: 3.7.10 Pip version: 19.3.1 Operating System: Using Google Colab Install method (conda, pip, source): pip Description: Unable to import fastparquet library in a google colab session. This issue appeared today ...
Environment info transformers version: Tried on 4.6.1(current default kaggle version)/4.8.1/4.8.2 and 4.9.1 Platform: Colab/Kaggle/ My Local Runtime Python version: 3.7.11 Who can help Information This is causing downstream import errors...
Google Colab and Kaggle notebooks with free GPU: Google Cloud Deep Learning VM. See GCP Quickstart Guide Amazon Deep Learning AMI. See AWS Quickstart Guide Docker Image. See Docker Quickstart Guide Status If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are...
YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies includingCUDA/CUDNN,PythonandPyTorchpreinstalled): Google Colab and Kagglenotebooks with free GPU: Google CloudDeep Learning VM. SeeGCP Quickstart Guide ...