Downloads · 30 days
0
EDAM-all-MiniLM-L6-v2_concat_gcn_h128_o64_cross_entropy_e128_knowledge-4
david4096/EDAM-all-MiniLM-L6-v2_concat_gcn_h128_o64_cross_entropy_e128_knowledge-4
EDAM-all-MiniLM-L6-v2_concat_gcn_h128_o64_cross_entropy_e128_knowledge-4 is a sentence similarity model from david4096. Use it when you need a score for how close two texts are. It is set up for sentence-transformers. The card lists the license as apache-2.0.
This is a knowledge-enhanced sentence transformer model created with on2vec.
Access
Public
Updated Sep 19, 2025
Repo size
159 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin159 MB · 97%
At a glance
- Task
- Sentence Similarity
- Library
- sentence-transformers
- License
- apache-2.0
- Access
- Public
- Created
- Sep 19, 2025
- Updated
- Sep 19, 2025
- SHA
- e72b74ce
Model card
From the Hugging Face model README
EDAM_all-MiniLM-L6-v2_concat_gcn_h128_o64_cross_entropy_e128_knowledge
This is a knowledge-enhanced sentence transformer model created with 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.
# 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.
- Task
- Sentence Similarity
- Library
- sentence-transformers
- License
- apache-2.0
- Created
- Sep 19, 2025
- Updated
- Sep 19, 2025