Introduction of span-marker-roberta-large-ontonotes5
Model Details of span-marker-roberta-large-ontonotes5
SpanMarker for Named Entity Recognition
This is a
SpanMarker
model that can be used for Named Entity Recognition. In particular, this SpanMarker model uses
roberta-large
as the underlying encoder. See
train.py
for the training script.
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-roberta-large-ontonotes5")
# Run inference
entities = model.predict("Amelia Earhart flew her single engine Lockheed Vega 5B across the Atlantic to Paris.")
Limitations
Warning
: This model works best when punctuation is separated from the prior words, so
# ✅
model.predict("He plays J. Robert Oppenheimer , an American theoretical physicist .")
# ❌
model.predict("He plays J. Robert Oppenheimer, an American theoretical physicist.")
# You can also supply a list of words directly: ✅
model.predict(["He", "plays", "J.", "Robert", "Oppenheimer", ",", "an", "American", "theoretical", "physicist", "."])
The same may be beneficial for some languages, such as splitting
"l'ocean Atlantique"
into
"l' ocean Atlantique"
.
See the
SpanMarker
repository for documentation and additional information on this library.
Runs of tomaarsen span-marker-roberta-large-ontonotes5 on huggingface.co
558
Total runs
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24-hour runs
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3-day runs
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30-day runs
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