cjis-themes-classifier

maai-project/cjis-themes-classifier

cjis-themes-classifier is a machine learning model from maai-project. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as mit.

Part of the Climate Journalism Intelligence System (CJIS) v3.1 "Journalistic Co-pilot".

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At a glance

Library: pytorch
License: mit
Model type: deberta-v2
Access: Public
Created: Feb 4, 2026
Updated: Feb 10, 2026
SHA: 858d4675

Model card

From the Hugging Face model README

CJIS Co-pilot: Themes Classifier

Part of the Climate Journalism Intelligence System (CJIS) v3.1 "Journalistic Co-pilot".

Architecture

Base: Climate-pretrained DeBERTa (MLM on 20k climate articles)
Head: Specialist classifier for themes

Task

Themes classification for climate journalism articles.

Labels (10)

emissions_carbon_pricing
climate_finance_development
food_security_public_health
renewable_energy_tech
fossil_fuel_industry
grid_infrastructure
just_transition
climate_litigation
extreme_weather_events
biodiversity_ecosystems

Usage

from transformers import pipeline

classifier = pipeline(
    "text-classification",
    model="maai-org/cjis-themes-classifier",
    return_all_scores=True
)

result = classifier("Your climate article here...")

Library: pytorch
Type: deberta-v2
License: mit
Languages: en
Created: Feb 4, 2026
Updated: Feb 10, 2026