I will build text summarization, classification, or sentiment analysis

Need to extract meaning from large volumes of text? I build production-ready NLP pipelines using state-of-the-art transformer models (T5, BERT, DistilBERT) for summarization, sentiment analysis, text classification, and more.

I've fine-tuned a T5 model on dialogue summarization data and deployed it as a live FastAPI REST API with a web UI complete with tokenization, beam search decoding, and GPU/CPU auto-fallback. I'll do the same for your use case.

What I deliver

• Fine-tuned or pre-trained transformer model for your specific NLP task
• Full inference pipeline: tokenization, truncation, decoding
• FastAPI REST endpoint so your app can send text and receive output
• Optional: simple web UI (HTML/CSS) to demo the model
• GPU (CUDA/MPS) and CPU fallback for cross-device deployment
• Documented code + deployment instructions

Buyer requirements

• What NLP task? (summarization, sentiment, classification, Q&A, other)
• Sample input text or dataset (1020 examples minimum for fine-tuning)
• Do you need an API endpoint, Python script, or web interface?
• What language is your text in? (English, other?)
• Do you have labelled training data for fine-tuning, or use pretrained only?