To install the Chat DeepSeek R1 API, several prerequisites must be met to ensure a smooth setup process. Here are the key requirements:
Prerequisites
1. Python Version: Ensure that you have Python 3.x installed on your system. This version is necessary for compatibility with the Chat DeepSeek R1 API, and it is advisable to check the official documentation for any specific version requirements[1].
2. Virtual Environment: It is recommended to set up a virtual environment to avoid conflicts with other installed packages. You can create one using the following command:
bash
python -m venv deepseek_env
After creating the virtual environment, activate it:
- On Windows:
bash
deepseek_env\Scripts\activate
- On macOS and Linux:
bash
source deepseek_env/bin/activate
3. Pip Installation: Make sure you have pip installed and updated, as it will be used to install the Chat DeepSeek R1 API from PyPI. You can check your pip version with:
bash
pip --version
4. API Key: Obtain an API key from the DeepSeek Open Platform by logging into your account, navigating to the "API Keys" section, and creating a new key. Store this key securely as it will be required for authentication[3].
5. Required Libraries: Although not explicitly mentioned in all sources, ensure that any additional libraries required for your specific implementation are installed.
By meeting these prerequisites, you will be well-prepared to install and utilize the Chat DeepSeek R1 API effectively.
Citations:
[1] https://thinhdanggroup.github.io/blog-on-chat-deepseek-r1-api/
[2] https://techwiser.com/how-to-run-deepseek-r1-locally-step-by-step-process/
[3] https://meetcody.ai/blog/deepseek-r1-api-pricing/
[4] https://www.cerebrium.ai/articles/deploying-deepseek-r1-a-guide-to-a-serverless-high-performaning-openai-compatible-endpoint
[5] https://dev.to/nodeshiftcloud/a-step-by-step-guide-to-install-deepseek-r1-locally-with-ollama-vllm-or-transformers-44a1
[6] https://www.reddit.com/r/OpenAI/comments/1i5pr7q/it_just_happened_deepseekr1_is_here/
[7] https://www.datacamp.com/tutorial/deepseek-r1-project
[8] https://digialps.com/run-deepseek-r1-locally-a-full-guide-my-honest-review-of-this-free-openai-alternative/