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---
license: apache-2.0
library_name: span_marker
tags:
- span_marker
- token-classification
- ner
- named-entity-recognition
pipeline_tag: token-classification
datasets:
- conll2003
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-conll03")
# Run inference
entities = 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. |