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
chore: update unicosys hypergraph model from CI pipeline
Browse files- README.md +1 -1
- config.json +1 -1
- graph_data.safetensors +2 -2
- model.safetensors +1 -1
- model_summary.json +2 -2
- node_id_mapping.json +0 -0
README.md
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| Total Nodes | 300,831 |
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| Cross-Links | 3,644 |
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| Entities | 16 |
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| Emails | 199,205 |
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config.json
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"text_num_heads": 4,
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"text_num_layers": 2,
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"text_vocab_size": 161,
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"transformers_version": "5.
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}
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"text_num_heads": 4,
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"text_num_layers": 2,
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"text_vocab_size": 161,
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"transformers_version": "5.9.0"
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}
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graph_data.safetensors
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model.safetensors
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model_summary.json
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{
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"case_number": "2025-137857",
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"total_nodes": 250000,
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"total_edges":
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"total_cross_links": 3644,
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"node_types": {
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"legal_filing": 5
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"edge_types": {
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"proves":
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"transaction_evidenced_by": 1
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"subsystems": {
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"case_number": "2025-137857",
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"total_nodes": 250000,
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"total_edges": 13934,
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"total_cross_links": 3644,
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"node_types": {
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"entity": 16,
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"legal_filing": 5
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},
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"edge_types": {
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"proves": 14657,
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"transaction_evidenced_by": 1
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"subsystems": {
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node_id_mapping.json
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