Using the Command-Line Script: You can usesend_request.pyto interact with the FastAPI server. Here’s how to use it:python send_request.py <model> <prompt> [stream] [formatted] <model>: The name of the model to use (e.g.,llama3.1). ...
demo_script.py: Demonstrates how to use the the send_request function to retrieve streaming, formatted, and complete JSON responses. Usage Clone the Repository: git clone https://github.com/darcyg32/fastapi-ollama-demo.git cd fastapi-ollama-demo Set Up a Virtual Environment: python -m venv...
Ollama offers a Python package to easily connect with models running on our computer. We'll useAnacondato set up a Python environment and add the necessary dependencies. Doing it this way helps prevent possible issues with other Python packages we may already have. Once Anaconda is installed, ...
Step 2: Accessing QwQ-32B via API To integrate QwQ-32B into applications, you can use the Ollama API with curl. Run the following curl command in your terminal. curl-XPOST http://localhost:11434/api/chat-H"Content-Type: application/json"-d'{ "model": "qwq", "messages": [{"role":...
Bring your own dataset and fine-tune your own LoRA, like Cabrita: A portuguese finetuned instruction LLaMA, or Fine-tune LLaMA to speak like Homer Simpson. Push the model to Replicate to run it in the cloud. This is handy if you want an API to build interfaces, or to run large-scal...
Step 2: Install Ollama for DeepSeek Now thatPythonandGitare installed, you’re ready to installOllamato manageDeepSeek. curl -fsSL https://ollama.com/install.sh | sh ollama --version Next, start and enableOllamato start automatically when your system boots. ...
By following this guide, you can use Python to interact with your local LLM model. This is a simple and powerful way to integrate LLM into your applications. Feel free to expand these scripts for more complex applications, such as automation or integration with other tools!
Ensure Ollama is running (you’ll see the icon in your menu bar). Send POST requests tohttp://localhost:11434/api/generate. Example using Postman: {"model":"qwen2.5:14b","prompt":"Tell me a funny joke about Python","stream":false} ...
Azure AI Agent Service provides several SDKs and a REST API for you to integrate agents into your app using your preferred programming language. This module focuses mostly on Python and C#, but the process will be the same for REST or other language SDKs....
In this section, you use the Azure AI model inference API with a chat completions model for chat. Tip The Azure AI model inference API allows you to talk with most models deployed in Azure AI Foundry portal with the same code and structure, including Meta Llama Instruct models - text-only...