---
license: cc-by-sa-4.0
tags:
  - hate-speech
  - toxic-comments
  - classification
  - hatebert
  - jigsaw
  - fine-tuned
base_model: GroNLP/hateBERT
datasets:
  - jigsaw-toxic-comment-classification-challenge
metrics:
  - accuracy
  - f1
---

# HateBERT Fine-Tuned on Jigsaw Toxic Comments

This model is a fine-tuned version of [GroNLP/hateBERT](https://huggingface.co/GroNLP/hateBERT) on the [Jigsaw Toxic Comment Classification Challenge](https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge) dataset.

## How to Use

```python
from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Jensvollends/hatebert-finetuned")
tokenizer = AutoTokenizer.from_pretrained("Jensvollends/hatebert-finetuned")

inputs = tokenizer("You are a bad person", return_tensors="pt")
outputs = model(**inputs)