Graph Machine Learning
Transformers
Safetensors
English
unicosys_hypergraph
knowledge-graph
hypergraph
legal-evidence
graph-neural-network
unicosys
Instructions to use drzo/unicosys-hypergraph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use drzo/unicosys-hypergraph with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("drzo/unicosys-hypergraph", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 750 Bytes
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"case_number": "2025-137857",
"total_nodes": 250000,
"total_edges": 13997,
"total_cross_links": 3616,
"node_types": {
"entity": 16,
"entity_document": 12103,
"timeline_event": 59955,
"hypergraph_node": 29530,
"fund_flow_analysis": 4,
"email": 199204,
"lex_scheme": 13,
"legal_filing": 5
},
"edge_types": {
"proves": 14727,
"transaction_evidenced_by": 1
},
"subsystems": {
"core": 16,
"fincosys": 101429,
"comcosys": 199204,
"revstream1": 150,
"ad_res_j7": 31
},
"model_params": 36023937,
"model_architecture": {
"node_embed_dim": 128,
"text_embed_dim": 256,
"hidden_dim": 256,
"gat_layers": 2,
"gat_heads": 4,
"text_encoder_layers": 2
}
} |