Kalloniatis/Greek-Humor-Dataset
Viewer • Updated • 10k • 14 • 1
How to use Kalloniatis/Humor-Recognition-Greek-XLM-R-large with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="Kalloniatis/Humor-Recognition-Greek-XLM-R-large") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Kalloniatis/Humor-Recognition-Greek-XLM-R-large")
model = AutoModelForSequenceClassification.from_pretrained("Kalloniatis/Humor-Recognition-Greek-XLM-R-large", device_map="auto")The model was pre-trained over 10 epochs on Greek Humorous Dataset #
The text needs to be pre-processed by removing all greek diacritics and punctuation and converting all letters to lowercase
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)