Edit model card

SpanMarker for Named Entity Recognition

This is a SpanMarker model that can be used for Named Entity Recognition. In particular, this SpanMarker model uses prajjwal1/bert-tiny as the underlying encoder.

Note

This model is primarily used for efficient tests on the SpanMarker GitHub repository.

Usage

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

pip install span_marker

You can then run inference with this model like so:

from span_marker import SpanMarkerModel

# Download from the 🤗 Hub
model = SpanMarkerModel.from_pretrained("tomaarsen/span-marker-bert-tiny-conll03")
# 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 library.

Downloads last month
38
Safetensors
Model size
4.39M params
Tensor type
I64
·
F32
·

Finetuned from

Dataset used to train tomaarsen/span-marker-bert-tiny-conll03

Evaluation results