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enhanced-bilstm-nppe2
RaghavIITM/enhanced-bilstm-nppe2
enhanced-bilstm-nppe2 is a machine learning model from RaghavIITM. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This model is a BiLSTM-based architecture for Named Entity Recognition tasks.
Access
Public
Updated Dec 13, 2025
Repo size
71.2 MB
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Repo makeup
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.ckpt71.2 MB · 100%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Dec 13, 2025
- Updated
- Dec 13, 2025
- SHA
- 3f2bf1f1
Model card
From the Hugging Face model README
Enhanced BiLSTM Model for Named Entity Recognition
This model is a BiLSTM-based architecture for Named Entity Recognition tasks.
Model Details
- Architecture: Bidirectional LSTM
- Framework: PyTorch Lightning
- Checkpoint: epoch=24-step=2700.ckpt
Usage
import torch
from huggingface_hub import hf_hub_download
# Download checkpoint
checkpoint_path = hf_hub_download(
repo_id="RaghavIITM/enhanced-bilstm-nppe2",
filename="best_model.ckpt"
)
# Load model
checkpoint = torch.load(checkpoint_path, map_location='cpu')
print("Model loaded successfully!")
Training
- Trained on Kaggle
- Best checkpoint selected based on validation metrics
Links
- License
- apache-2.0
- Created
- Dec 13, 2025
- Updated
- Dec 13, 2025