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---
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)
```
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