# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Kalloniatis/Humor-Recognition-Greek-DistilBERT")
model = AutoModelForSequenceClassification.from_pretrained("Kalloniatis/Humor-Recognition-Greek-DistilBERT", device_map="auto")Quick Links
This model is based on mDeBERTa multilingual model ("distilbert/distilbert-base-multilingual-cased") 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 DistilBertTokenizer, DistilBertForSequenceClassification
tokenizer = DistilBertTokenizer.from_pretrained("kallantis/Humor-Recognition-Greek-DistilBERT")
model = DistilBertForSequenceClassification.from_pretrained("kallantis/Humor-Recognition-Greek-DistilBERT", num_labels=2)
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kalloniatis/Humor-Recognition-Greek-DistilBERT")