|
--- |
|
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](https://github.com/tomaarsen/SpanMarkerNER) model that can be used for Named Entity Recognition. In particular, this SpanMarker model uses [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) as the underlying encoder. |
|
|
|
## Usage |
|
|
|
To use this model for inference, first install the `span_marker` library: |
|
|
|
```bash |
|
pip install span_marker |
|
``` |
|
|
|
You can then run inference as follows: |
|
|
|
```python |
|
from span_marker import SpanMarkerModel |
|
|
|
# Download from Hub and run inference |
|
model = SpanMarkerModel.from_pretrained("tomaarsen/span-marker-bert-tiny-fewnerd-coarse-super") |
|
# Run inference |
|
preds = model.predict("Amelia Earhart flew her single engine Lockheed Vega 5B across the Atlantic to Paris.") |
|
``` |
|
|
|
See the [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) repository for documentation and additional information on this model framework. |
