DeepSeek Models

Text Generation Model

The DeepSeek Text Generation model is designed for generating human-like text. You can use it to create stories, articles, and more.

                                
generated_text = deepseek.generate("Write a story about a brave knight.")

                              

Summarization Model

DeepSeek's Summarization model can shorten lengthy texts, providing concise summaries while maintaining the key points. This model is particularly useful for creating abstracts, executive summaries, and digestible content from large documents.

Here are some key features of the Summarization Model:

• Extractive Summarization: Identifies and extracts the most important sentences from the text.
• Abstractive Summarization: Generates new sentences that convey the main ideas of the text.
• Customizable Length: Allows you to specify the desired length of the summary.
• Context Preservation: Ensures that the summary retains the context and meaning of the original text.

                                
summary = deepseek.summarize("DeepSeek provides cutting-edge AI models for text generation and summarization. These models are designed to help users create high-quality content efficiently and effectively.")

                              

Translation Model

Use DeepSeek's Translation model to translate text between different languages. It supports many languages for accurate translation.

                                
translated_text = deepseek.translate("Hello, how are you?", target_lang="es")

                              

Sentiment Analysis Model

DeepSeek also provides a Sentiment Analysis model to determine the sentiment of a given text (positive, neutral, negative).

                                
sentiment = deepseek.analyze_sentiment("I love using DeepSeek! It's amazing.")