| language: en | |
| license: mit | |
| library_name: pytorch | |
| tags: | |
| - climate-journalism | |
| - cjis-copilot | |
| - sentiments | |
| - multi-label-classification | |
| # Base: Custom MLM-trained DeBERTa (not on HuggingFace Hub) | |
| # CJIS Co-pilot: Sentiments 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 sentiments | |
| ## Task | |
| Sentiments classification for climate journalism articles. | |
| ## Labels (4) | |
| - `alarm_urgent` | |
| - `critical_skeptical` | |
| - `solution_oriented` | |
| - `neutral_balanced` | |
| ## Usage | |
| ```python | |
| from transformers import pipeline | |
| classifier = pipeline( | |
| "text-classification", | |
| model="maai-org/cjis-sentiments-classifier", | |
| return_all_scores=True | |
| ) | |
| result = classifier("Your climate article here...") | |