readme: ---
  language: "en"
  tags:
  - distilroberta
  - sentiment
  - NSFW
  - inappropriate 
  - spam
  - twitter
  - reddit
  
  widget:
  - text: "I like you. You remind me of me when I was young and stupid."
  - text: "I see you’ve set aside this special time to humiliate yourself in public."
  - text: "Have a great weekend! See you next week!"
  
  ---
  
  # Fine-tuned DistilRoBERTa-base for NSFW Classification
  
  # Model Description 
  
  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](https://huggingface.co/docs/transformers/model_doc/distilbert).
  
  It was fine-tuned on 14317 Reddit posts pulled from the (Reddit API) [https://praw.readthedocs.io/en/stable/].
  
  # How to Use 
  
  ```python
  from transformers import pipeline
  classifier = pipeline("sentiment-analysis", model="michellejieli/NSFW_text_classification")
  classifier("I see you’ve set aside this special time to humiliate yourself in public.")
  ```
  
  ```python
  Output:
  [{'label': 'NSFW', 'score': 0.998853325843811}]
  ```
  
  # Contact
  
  Please reach out to [michelle.li851@duke.edu](mailto:michelle.li851@duke.edu) if you have any questions or feedback.
  
  ---