jeevan0704/sequential-model-for-sequential_dataset
0
Sequential Model for Sequence Labeling
This is a Flask-based web application serving a Bidirectional LSTM model for sequence labeling.
Usage
Enter a comma-separated sequence of integers (e.g., 1, 45, 23, 100) to get predictions.
Architecture
- Model: BiLSTM
- Framework: PyTorch + Flask
- Input: Integer sequences
- Output: Token-level classification
Note
If the model file models/best_model.pth is missing, the application will use random weights for demonstration purposes.
