Files main docs integration_tests kaggle src tests tools .gcloudignore .gitignore .swagger-codegen-ignore CHANGELOG.md CONTRIBUTING.md LICENSE MANIFEST.in README.md SECURITY.md pyproject.toml setup.cfg setup.pyBreadcrumbs kaggle-api/ .gitignore...
To run integration tests on your local machine, you need to set up your Kaggle API credentials. You can do this in one of these two ways described this doc. Refer to the sections: Using environment variables Using credentials file After setting up your credentials by any of these methods,...
jobs:kaggle-gpu:runs-on:ubuntu-latestif:${{ github.event_name == 'push' }}steps:-uses:actions/checkout@v3-name:Set up Python 3.7uses:actions/setup-python@v3with:python-version:3.7-uses:"lvyufeng/action-kaggle-gpu-test@latest"with:kaggle_username:"${{ secrets.KAGGLE_USERNAME }}"kaggle_...
Integration with Workflows: The Kaggle CLI can be integrated into automated workflows and scripts, allowing users to incorporate Kaggle functionality into their data science pipelines. This can be useful for tasks such as downloading datasets for model training, running experiments in Kaggle Kernels, an...
https://github.com/liucongg/ChatGLM-Finetuning 同时,根据GLM2源码中的chat函数以及tokenizer中的build_prompt函数: https://huggingface.co/THUDM/chatglm2-6b/blob/8fd7fba285f7171d3ae7ea3b35c53b6340501ed1/modeling_chatglm.py#L1019-L1035
https://github.com/liucongg/ChatGLM-Finetuning 同时,根据GLM2源码中的chat函数以及tokenizer中的build_prompt函数: https://huggingface.co/THUDM/chatglm2-6b/blob/8fd7fba285f7171d3ae7ea3b35c53b6340501ed1/modeling_chatglm.py#L1019-L1035
LLM部署解决方案: 探讨LangChainJava移植版、Dragonfly integration,以及发布了一款能够实现无需代码的模型训练的AutoTrain配置方案。 AI Development Frameworks:Modular发布了最新版本Mojo 24.3,并获得了社区贡献。GreenBitAI推出了一个增强PyTorch的工具包,而BitBlas提供了高速的gemv内核。
The approach and tools used at the development stage are very important at ensuring the smooth integration of the basic units that make up the machine learning pipeline. If these are not put into consideration before starting a project, there’s a huge chance of you ending up with an ML sys...
Integration Tests To run integration tests on your local machine, you need to set up your Kaggle API credentials. You can do this in one of these two ways described this doc. Refer to the sections: Using environment variables Using credentials file After setting up your credentials by any of...
To run integration tests on your local machine, you need to set up your Kaggle API credentials. You can do this in one of these two ways described this doc. Refer to the sections: Using environment variables Using credentials file After setting up your credentials by any of these methods,...