General-use Next Word Prediction model using a Bidirectional LSTM architecture that takes a phrase of words as input and generates predictions of the next word. The model is trained using text data from AMALGUM to predict the most likely next word given an input phrase.
- PyTorch
- NumPy
- matplotlib
- pandas
- Streamlit
- Pickle
- Google Colab