Update README.md

README.md

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 <!-- Provide a longer summary of what this model is. -->
 
-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+This is a multi label encoder model. It clasiffies text for NSFW, Hate Speech, and Bullying. The output is a probability between 0 and 1 meaning if that label should be count. 
+A probability of 0.5 or above means this label is True, otherwise it is False. If all labels are False, then the text is toxic free. 
 
-- **Developed by:** [More Information Needed]
+- **Developed by:** Eli Borodach & Yoav Yosef
 - **Funded by [optional]:** [More Information Needed]
 - **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
+- **Model type:** Multi Label Encoder
+- **Language(s) (NLP):** English
 - **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+- **Finetuned from model [optional]:** distilBERT
 
 ### Model Sources [optional]
 
@@ -31,7 +32,7 @@ This is the model card of a 🤗 transformers model that has been pushed on the
 
 - **Repository:** [More Information Needed]
 - **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+- **Demo [optional]:** [Telegram chat](https://t.me/distilBERT_toxic_detector)
 
 ## Uses