Code used to train the following 🤗 Huggingface models:

• cja5553/deberta-Twitter-spam-classification
• cja5553/xlm-roberta-Twitter-spam-classification

To use

deberta-Twitter-spam-classification

from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("cja5553/deberta-Twitter-spam-classification")
model = AutoModelForSequenceClassification.from_pretrained("cja5553/deberta-Twitter-spam-classification")

xlm-roberta-Twitter-spam-classification

from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("cja5553/xlm-roberta-Twitter-spam-classification")
model = AutoModelForSequenceClassification.from_pretrained("cja5553/xlm-roberta-Twitter-spam-classification")

Spam detection of Tweets

This model classifies Tweets from X (formerly known as Twitter) into 'Spam' (1) or 'Quality' (0).

Training Dataset

This was fine-tuned on the UtkMl's Twitter Spam Detection dataset.

Questions?

contact me at alba@wustl.edu