DistilBERT is a transformer model that performs sentiment analysis. I fine-tuned the model on Reddit posts with the purpose of classifying not safe for work (NSFW) content, specifically text that is considered inappropriate and unprofessional. The model predicts 2 classes, which are NSFW or safe for work (SFW).
The model is a fine-tuned version of
DistilBERT.
It was fine-tuned on 14317 Reddit posts pulled from the (Reddit API) [
https://praw.readthedocs.io/en/stable/].
1from transformers import pipeline
2classifier = pipeline("sentiment-analysis", model="michellejieli/NSFW_text_classification")
3classifier("I see you’ve set aside this special time to humiliate yourself in public.")
1Output:
2[{'label': 'NSFW', 'score': 0.998853325843811}]
Please reach out to
michelle.li851@duke.edu if you have any questions or feedback.
