IMPETUS-Climate-bge-small
| Property | Value |
|---|---|
| Author | Applied-Artificial-Intelligence-Eurecat |
| License | CC BY-NC 4.0 |
| Model Type | Embedding Model |
| Base Architecture | BGE-small |
| HuggingFace URL | Applied-Artificial-Intelligence-Eurecat/IMPETUS-Climate-bge-small |
What is IMPETUS-Climate-bge-small?
IMPETUS-Climate-bge-small is a specialized embedding model fine-tuned on climate change and urban resilience data from the Horizon 2020 IMPETUS Climate project. This model is designed to capture domain-specific semantic relationships in climate adaptation strategies and environmental policy contexts.
Implementation Details
The model builds upon the BGE-small architecture and has been specifically trained using public deliverables from the IMPETUS Climate H2020 project. It generates 384-dimensional embeddings and can be easily implemented using the Sentence Transformers library.
- Training data sourced from public IMPETUS Climate project deliverables
- Optimized for climate change and urban resilience semantic analysis
- Generates 384-dimensional embedding vectors
- Compatible with Sentence Transformers framework
Core Capabilities
- Semantic similarity analysis for climate-related content
- Document embedding for environmental policy texts
- Context-aware representation of climate adaptation strategies
- Support for urban resilience analysis
Frequently Asked Questions
Q: What makes this model unique?
The model's specialization in climate change and urban resilience makes it particularly valuable for environmental policy analysis and climate adaptation strategy development. Its training on IMPETUS project data ensures high relevance for European climate initiatives.
Q: What are the recommended use cases?
The model is ideal for analyzing climate policy documents, comparing adaptation strategies, and processing environmental research texts. It's particularly suited for non-commercial applications in academic research and policy analysis.
