---
language: 
  - en

tags:
- pytorch
- ner
- qa

license: mit

datasets:
- conll2003

metrics:
- f1
---
# t5-base-qa-ner-conll

Unofficial implementation of [InstructionNER](https://arxiv.org/pdf/2203.03903v1.pdf).
t5-base model tuned on conll2003 dataset.

https://github.com/ovbystrova/InstructionNER 

## Prediction Sample
```
Sentence: The protest , which attracted several thousand supporters , coincided with the 18th anniversary of Spain 's constitution .
Instruction: please extract entities and their types from the input sentence, all entity types are in options
Options: ORG, PER, LOC

Prediction (raw text): Spain is a LOC.
```