---
library_name: transformers
datasets:
- kallantis/Greek-Humorous-Dataset
language:
- el
pipeline_tag: text-classification
---
#
#
# The model is based on XLM-RoBERTa large ("xlm-roberta-large") fine-tuned for Humor Recognition in Greek language.
# 



## Model Details

The model was pre-trained over 10 epochs on Greek Humorous Dataset 
#
## Pre-processing details

The text needs to be pre-processed by removing all greek diacritics and punctuation 
and converting all letters to lowercase

## Load Pretrained Model

```python
from transformers import AutoTokenizer, XLMRobertaForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("kallantis/Humor-Recognition-Greek-XLM-R-large")
model = XLMRobertaForSequenceClassification.from_pretrained("kallantis/Humor-Recognition-Greek-XLM-R-large", num_labels=2, ignore_mismatched_sizes=True)
```