A lightweight, fast, and efficient implementation of the DistilBERT model for natural language processing tasks.
- Trained on emotion-labeled dataset
- Predicts emotion of input sentence
- Supports emotions like joy, sadness, anger, fear, etc.
- Outputs a single dominant emotion per input
- Suitable for emotion classification tasks in NLP
pip install -r requirements.txt
python app.py
This project is licensed under the MIT License.
Made by adityacyan