transformers pytorch bert text-classification BERTicelli text classification abusive language hate speech offensive language en dataset:OLID license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
datasets:
- OLID
language:
- en
license: apache-2.0
tags:
- BERTicelli
- text classification
- abusive language
- hate speech
- offensive language
widget:
- text: If Jamie Oliver fucks with my £3 meal deals at Tesco I'll kill the cunt.
  example_title: Example 1
- text: Keep up the good hard work.
  example_title: Example 2
- text: That's not hair. Those were polyester fibers because Yoda is (or was) a puppet.
  example_title: Example 3
---

[Mona Allaert](https://github.com/MonaDT) •
[Leonardo Grotti](https://github.com/corvusMidnight) •
[Patrick Quick](https://github.com/patrickquick)

## Model description

BERTicelli is an English pre-trained BERT model obtained by fine-tuning the [English BERT base cased model](https://github.com/google-research/bert) with the training data from [Offensive Language Identification Dataset (OLID)](https://scholar.harvard.edu/malmasi/olid).

This model was developed for the NLP Shared Task in the Digital Text Analysis program at the University of Antwerp (2021–2022).