jeevan0704/sequential-model-for-sequential_dataset
0
1---2title: Sequential Model Labeling3emoji: 🧬4colorFrom: blue5colorTo: indigo6sdk: docker7pinned: false8---9 10# Sequential Model for Sequence Labeling11 12This is a Flask-based web application serving a Bidirectional LSTM model for sequence labeling.13 14## Usage15 16Enter a comma-separated sequence of integers (e.g., `1, 45, 23, 100`) to get predictions.17 18## Architecture19 20- **Model**: BiLSTM21- **Framework**: PyTorch + Flask22- **Input**: Integer sequences23- **Output**: Token-level classification24 25## Note26 27If the model file `models/best_model.pth` is missing, the application will use random weights for demonstration purposes.28 