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| title: Absue Hate-Speech Profanity App | |
| emoji: 💻 | |
| colorFrom: green | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 4.44.1 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| short_description: An app to flag a abuse, hate speech and profanity | |
| ### Abusive Langauge, Hate Speech and Profanity Detection using BERT Pre-trained Transformers Models | |
| - Abusive Language: **[Hate-speech-CNERG/english-abusive-MuRIL](https://huggingface.co/Hate-speech-CNERG/english-abusive-MuRIL)** a model trained for detecting abusive speech in English. It is finetuned on MuRIL model using English abusive speech dataset | |
| - Hate Speech: **[cardiffnlp/twitter-roberta-base-hate-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-hate-latest)** this model is a fine-tuned version of cardiffnlp/twitter-roberta-base-2022-154m for binary hate-speech classification. A combination of 13 different hate-speech datasets in the English language were used to fine-tune the model. | |
| - Profanity: **[tarekziade/pardonmyai](https://huggingface.co/tarekziade/pardonmyai)** a fine-tuned model that detects profanity in text. | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |