metadata

language:
  - it
pipeline_tag: token-classification

Universal NER for Italian (Zero-Shot)

Model Description

This model is designed for Named Entity Recognition (NER) tasks, specifically tailored for the Italian language. It employs a zero-shot learning approach, enabling it to identify a wide range of entities without the need for specific training on those entities. This makes it incredibly versatile for various applications requiring entity extraction from Italian text.

Model Performance

Inference Time: The model runs on CPUs, with an inference time of 0.01 seconds on a GPU. Performance on a CPU will vary depending on the specific hardware configuration.

Try It Out

You can test the model directly in your browser through the following Hugging Face Spaces link: https://huggingface.co/spaces/DeepMount00/universal_ner.