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--- |
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library_name: transformers |
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datasets: |
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- kallantis/Greek-Humorous-Dataset |
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language: |
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- el |
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pipeline_tag: text-classification |
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--- |
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# |
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# |
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# The model is based on XLM-RoBERTa large ("xlm-roberta-large") fine-tuned for Humor Recognition in Greek language. |
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# |
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## Model Details |
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The model was pre-trained over 10 epochs on Greek Humorous Dataset |
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# |
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## Pre-processing details |
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The text needs to be pre-processed by removing all greek diacritics and punctuation |
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and converting all letters to lowercase |
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## Load Pretrained Model |
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```python |
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from transformers import AutoTokenizer, XLMRobertaForSequenceClassification |
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tokenizer = AutoTokenizer.from_pretrained("kallantis/Humor-Recognition-Greek-XLM-R-large") |
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model = XLMRobertaForSequenceClassification.from_pretrained("kallantis/Humor-Recognition-Greek-XLM-R-large", num_labels=2, ignore_mismatched_sizes=True) |
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``` |
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