This model is based on Canine-s model ("google/canine-s ") 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

from transformers import CanineTokenizer, CanineForSequenceClassification

tokenizer = CanineTokenizer.from_pretrained("kallantis/Humor-Recognition-Greek-canine-s")
model = CanineForSequenceClassification.from_pretrained("kallantis/Humor-Recognition-Greek-canine-s", num_labels=2)
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Model size
132M params
Tensor type
F32
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Dataset used to train Kalloniatis/Humor-Recognition-Greek-canine-s