How do I sign up and explore the platform?

# Step 1: Create Account and Get API Key 1. Visit [platform.deepseek.com](https://platform.deepseek.com/). 2. Sign up with email or GitHub/Google. 3. Navigate to [platform.deepseek.com/api_keys](https://platform.deepseek.com/api_keys) and create a new API key. Copy it securely. 4. Use the playground/chat interface on the platform to test models like deepseek-chat interactively. This gives immediate access to DeepSeek-V3.2 models.

How do I execute your first api call?

# Step 2: Test API with Curl Use this exact curl command (replace `${DEEPSEEK_API_KEY}` with your key): ```bash curl https://api.deepseek.com/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer ${DEEPSEEK_API_KEY}" \ -d '{ "model": "deepseek-chat", "messages": [ {"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": "Hello!"} ], "stream": false }' ``` Expect a JSON response with the assistant's reply. Try `deepseek-reasoner` for reasoning tasks.

How do I integrate with python and openai sdk?

# Step 3: Python Quickstart 1. Install: `pip install openai` 2. Use this code: ```python from openai import OpenAI client = OpenAI( api_key="your-api-key-here", base_url="https://api.deepseek.com/v1" ) response = client.chat.completions.create( model="deepseek-chat", messages=[ {"role": "system", "content": "You are helpful."}, {"role": "user", "content": "Explain DeepSeek-V3.2 briefly."} ] ) print(response.choices[0].message.content) ``` Experiment with streaming by adding `stream=True`.

How do I master prompting and model features?

# Step 4: Advanced Prompting Techniques - Use **system** prompts for role-playing. - Test **deepseek-reasoner** for math/code: e.g., "Solve 2x + 3 = 7 step-by-step." - Chain messages for conversations. - In playground or API, try context up to 128K tokens. Example multi-turn: ```json { "model": "deepseek-reasoner", "messages": [ {"role": "user", "content": "What is Python?"}, {"role": "assistant", "content": "..."}, {"role": "user", "content": "Write a hello world script."} ] } ``` Compare chat vs reasoner outputs.

How do I run deepseek-v2 locally with transformers?

# Step 5: Local Inference (Lite Version Recommended) For feasible local run, use DeepSeek-V2-Lite-Chat (consumer GPU ok). 1. `pip install torch transformers` 2. Code: ```python import torch from transformers import AutoTokenizer, AutoModelForCausalLM model_name = "deepseek-ai/DeepSeek-V2-Lite-Chat" tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16, trust_remote_code=True, device_map="auto") messages = [{"role": "user", "content": "Hello!"}] input_tensor = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device) outputs = model.generate(input_tensor, max_new_tokens=100) print(tokenizer.decode(outputs[0][input_tensor.shape[1]:], skip_special_tokens=True)) ``` Scale to full V2 if 8x80GB GPUs available (see GitHub).

Master DeepSeek AI: Setup to Local Use in 5 Steps

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Instant Toolkit

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📋
Step-by-Step Guide

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Step 1: Create Account and Get API Key

Visit platform.deepseek.com.
Sign up with email or GitHub/Google.
Navigate to platform.deepseek.com/api_keys and create a new API key. Copy it securely.
Use the playground/chat interface on the platform to test models like deepseek-chat interactively.

This gives immediate access to DeepSeek-V3.2 models.

Why this step matters:

-Establishes your gateway to high-performance AI models
-Enables hands-on experimentation without coding

15-30 minutes

Web browser, Email account

$0

Definition of Done

•API key generated and saved
•Successfully chatted in the playground

Common Mistakes to Avoid

❌ Forgetting to copy the API key immediately

→Generate a new one if lost; store in environment variable

❌ Using wrong base URL

→Always use https://api.deepseek.com or /v1

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Suggested Videos

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Learning Resources

📖 Online Courses

Mastering DeepSeek: From Architecture to Application

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Paid

Coursera

📖 Recommended Books

Build a DeepSeek Model (From Scratch)

advanced

by Manning Publications

DeepSeek in Practice

intermediate

by Packt Publishing

🌐 Helpful Websites

DeepSeek API Docs

documentation

Official quickstart and API reference

DeepSeek Platform

platform

Get API keys, playground, and models

DeepSeek-V2 GitHub

github

Local inference instructions and code

🛠️ Useful Tools

OpenAI Python SDK

SDK

Compatible client for DeepSeek API

Hugging Face Transformers

Library

Run DeepSeek models locally

Master DeepSeek AI: Setup to Local Use in 5 Steps