Data Extraction With Gliner and ZeroGPU - save on AI Inference Costs with Small Language Models
In this video, we walk you through how to handle personally identifiable information, or PII. I introduce the Gliner model, which efficiently extracts PII and supports use cases like entity extraction, structured data extraction, and text classification. I demonstrate how the model can identify names and emails from unstructured data, convert paragraphs into JSON format, and analyze text sentiment. I encourage you to explore these functionalities and consider how they can enhance your data handling processes. Reach out to us for any custom usecases. Sign up for free and test out platform, use this link for free credits - platform.zerogpu.ai