# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Hexye/sarcasm-classifier")
model = AutoModelForSequenceClassification.from_pretrained("Hexye/sarcasm-classifier")Quick Links
Dataset
The dataset used is liamvbetts/sarcastic-news-headlines-1
Results
- LABEL_0: Not Sarcastic
- LABEL_1: Sarcastic
Loss
- Training Loss: 0.17519113624394758
- Evaluation Loss: 0.3631640374660492
Important
This model rarely works with random sarcastic sentences. It works better with sarcastic headlines.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hexye/sarcasm-classifier")