For example PIL.Image objects are automatically converted: Before import google.generativeai as genai model = genai.GenerativeModel('gemini-1.5-flash') response = model.generate_content([ 'Tell me a story based on this image', Image.open(image_path) ]) print(response.text) After from google...
This is also one of the most Python libraries that defines, assesses and optimizes mathematical expressions consisting of multidimensional arrays in and effective ways. You should use Theano in unit testing and self-verification to find and fix various errors. This versatile Python AI library is be...
you can take advantage of the AutoPilot feature to automatically build and train machine learning models based on your data. The best way to get started is to
# display the model-ids in a dropdown to select a model for inference. model_dropdown = Dropdown( options=txt2img_models, value="model-txt2img-stabilityai-stable-diffusion-v2-1-base", description="Select a model", style={"description_width": "initial"}, layout={"width": "max-content...
PyTorch是处理神经网络的最佳选择之一,神经网络是TensorFlow的长期竞争对手。主要由Facebook的人工智能小组开发。生成对抗网络(Generative Adversarial Networking)中使用PyTorch作为深度学习框架。学习如何在PyTorch上编写自己的GAN。 简单的GPU的支持。 在GPU模式下,PyTorch提供了高质量的优化,有一个c++API运行环境。
pandas_ai.run(df, prompt='the question you would like to ask?') For example, you may be looking through your dataset and are interested in the rows where the value of a column is greater than 5. You can do this by using Pandas AI: ...
Libraries often contain optimized code for common tasks, leading to better performance. Leveraging libraries can result in more efficient and faster code execution. Customize Functionality: Libraries may offer options for customization or extension. Customize functionality by subclassing existing classes, ov...
There are so many amazing Python libraries and tools out every year that it's hard to keep track of them all. That's why we share with you our hand-picked selection of our best picks.
!pip install -q -U google-generativeai # Mount Google Drive from google.colab import drive drive.mount('/content/drive') # Import necessary libraries import google.generativeai as genai from google.colab import userdata # Configure Gemini API key ...
Develop Agents using the Azure AI Agent Service, leveraging an extensive ecosystem of models, tools, and capabilities from OpenAI, Microsoft, and other LLM providers. The Azure AI Agent Service enables the building of Agents for a wide range of generative AI use cases. The package is currently...