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