Generate translated text from prompts
Predict employee turnover with satisfaction factors
Predict photovoltaic efficiency from SMILES codes
Generate creative text with prompts
Build customized LLM apps using drag-and-drop
Smart search tool that leverages LangChain, FAISS, OpenAI.
Generate protein sequences that fit a given structure
Generate text bubbles from your input
View how beam search decoding works, in detail!
Train GPT-2 and generate text using custom datasets
Interact with a 360M parameter language model
Generate optimized prompts for Stable Diffusion
Fastapi T5 is a text generation tool built using FastAPI, a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. It leverages the power of the T5 model to generate translated text from user-provided prompts. Designed for scalability and ease of use, Fastapi T5 offers a robust API for generating high-quality text outputs.
• Text Generation: Generate coherent and contextually relevant text based on input prompts. • Language Translation: Translate text from one language to another using the T5 model. • REST API: Built with FastAPI, offering a clean and intuitive endpoint for integration. • Asynchronous Processing: Supports asynchronous requests for efficient handling of multiple tasks. • Customizable: Allows users to fine-tune the model or adjust parameters for specific use cases.
pip install fastapi-t5
uvicorn fastapi_t5.server:app --reload
http://localhost:8000/docs to interact with the API./generate endpoint with your prompt to receive the generated text.1. How do I install Fastapi T5?
Install Fastapi T5 using pip with the command: pip install fastapi-t5.
2. What languages does Fastapi T5 support for translation?
Fastapi T5 supports a wide range of languages, including English, Spanish, French, German, and many others, based on the T5 model's capabilities.
3. Are there any limits to the length of the generated text?
Yes, the generated text length can be controlled by adjusting the max_length parameter in the API request. The default value is set to ensure optimal performance.