README.md

metadata

license: apache-2.0
library_name: span_marker
tags:
  - span_marker
  - token-classification
  - ner
  - named-entity-recognition
pipeline_tag: token-classification
datasets:
  - DFKI-SLT/few-nerd
language:
  - en

SpanMarker for Named Entity Recognition

This is a SpanMarker model that can be used for Named Entity Recognition. In particular, this SpanMarker model uses bert-base-cased as the underlying encoder.

Usage

To use this model for inference, first install the span_marker library:

pip install span_marker

You can then run inference as follows:

from span_marker import SpanMarkerModel

# Download from Hub and run inference
model = SpanMarkerModel.from_pretrained("tomaarsen/span-marker-bert-base-fewnerd-fine-super")
# Run inference
entities = model.predict("Amelia Earhart flew her single engine Lockheed Vega 5B across the Atlantic to Paris.")

See the SpanMarker repository for documentation and additional information on this model framework.