---
language:
- en
library_name: flair
pipeline_tag: token-classification
tags:
- statistics
datasets:
- conll2003
---


## Overview
This model is used to identify statistical named entities in large text. Statistical Named Entities are entities that indicate the presence of a statistical claim (such as a hypothesis of an experiment) along with the type of test and the confidence value.

Use this model in your repo to categorize a text document to find claims, test statistics and probability scores. The model uses Flair NLP from ground-up to develop a Stats NER for researchers.

## Usage

from flair.models import SequenceTagger

tagger = SequenceTagger.load("VinayNR/stats-ner")

sentence = Sentence(<your_string>, use_tokenizer=True)

tagger.predict(sentence)