README.md

---
license: apache-2.0
library_name: sentence-transformers
tags:
- sentence-transformers
- sentence-similarity
- feature-extraction
- ontology
- on2vec
- knowledge-enhanced
pipeline_tag: sentence-similarity
---

# agro_all-MiniLM-L6-v2_concat_gcn_h128_o64_cross_entropy_e128_knowledge

This is a knowledge-enhanced sentence transformer model created with [on2vec](https://github.com/davidandrzej/on2vec).

## Model Details

- **Base Model**: sentence-transformers/all-MiniLM-L6-v2
- **Architecture**: Knowledge-Enhanced Transformer (experimental)
- **Knowledge Dim**: 1024
- **Max Concepts**: 3
- **Created with**: on2vec knowledge-enhanced architecture

## Usage

⚠️ **Note**: This is an experimental knowledge-enhanced model that requires special handling.

```python
# This model cannot be loaded with standard SentenceTransformer.load()
# Contact the model creator for usage instructions
```

## Architecture

This model uses a fundamentally different approach than standard fusion models:
- Token embeddings are enhanced with ontology knowledge during forward pass
- End-to-end training in unified representation space
- No separate lookup/fusion step

Generated by on2vec knowledge-enhanced transformer.