Rogendo/police_case_reporting_multitask_distilbert

Police_Case_Multi-Task_v2 — Mar 09 00:25

Fine-tuned with JengaAI — a multi-task NLP training framework.

Metric	Value
Accuracy	N/A
F1 Score	N/A
Modality	NLP

Loading with JengaAI SDK

This model uses a custom MultiTaskModel architecture and requires the JengaAI SDK to run inference.

from jenga_ai.inference.predictor import MultiTaskPredictor

predictor = MultiTaskPredictor.from_checkpoint(
    model_dir="Rogendo/police_case_reporting_multitask_distilbert",   # HuggingFace repo ID
)
result = predictor.predict("Your text here")
print(result)

Artifacts

File	Description
model.pt	Trained model weights (PyTorch)
experiment_config.yaml	Full training config with label maps
label_maps.json	Class label mappings per task
encoder_config/	Base encoder tokenizer & config