Text Classification
Transformers
PyTorch
English
roberta
Tweet
Twitter
Clickbait
Spam
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Stremie/roberta-base-clickbait")
model = AutoModelForSequenceClassification.from_pretrained("Stremie/roberta-base-clickbait")Quick Links
This model classifies whether a tweet is clickbait or not. It has been trained using Webis-Clickbait-17 dataset. Input is composed of 'postText'. Achieved ~0.7 F1-score on test data.
In order to test this model, try a tweet on the right!
- Downloads last month
- 28
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Stremie/roberta-base-clickbait")