| language: en | |
| license: mit | |
| library_name: pytorch | |
| tags: | |
| - climate-journalism | |
| - cjis-copilot | |
| - frames | |
| - multi-label-classification | |
| # Base: Custom MLM-trained DeBERTa (not on HuggingFace Hub) | |
| # CJIS Co-pilot: Frames 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 frames | |
| ## Task | |
| Frames classification for climate journalism articles. | |
| ## Labels (8) | |
| - `scientific` | |
| - `crisis` | |
| - `economic_solutions` | |
| - `political` | |
| - `justice_responsibility` | |
| - `health_ecological` | |
| - `security` | |
| - `human_interest` | |
| ## Usage | |
| ```python | |
| from transformers import pipeline | |
| classifier = pipeline( | |
| "text-classification", | |
| model="maai-org/cjis-frames-classifier", | |
| return_all_scores=True | |
| ) | |
| result = classifier("Your climate article here...") | |