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 +4 -4
- config.json +1 -1
- graph_data.safetensors +2 -2
- model.safetensors +1 -1
- model_summary.json +5 -5
- node_id_mapping.json +0 -0
README.md
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@@ -38,13 +38,13 @@ single trainable knowledge representation.
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| Metric | Count |
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|---|---|
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| Total Nodes |
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| Total Edges | 14,800 |
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| Cross-Links | 3,624 |
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| Entities | 16 |
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| Emails | 199,204 |
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| Financial Documents | 12,
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| Timeline Events | 59,
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| LEX Schemes | 13 |
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| Legal Filings | 5 |
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| Subsystem | Nodes |
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|---|---|
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| Core (Entities) | 16 |
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| Fincosys (Financial) |
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| Comcosys (Communications) | 199,204 |
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| RevStream1 (Evidence) | 150 |
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| Ad-Res-J7 (Legal) | 31 |
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| Metric | Count |
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|---|---|
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| Total Nodes | 300,830 |
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| Total Edges | 14,800 |
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| Cross-Links | 3,624 |
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| Entities | 16 |
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| 45 |
| Emails | 199,204 |
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| 46 |
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| Financial Documents | 12,103 |
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| 47 |
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| Timeline Events | 59,955 |
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| LEX Schemes | 13 |
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| Legal Filings | 5 |
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| Subsystem | Nodes |
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| 54 |
|---|---|
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| Core (Entities) | 16 |
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| 56 |
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| Fincosys (Financial) | 101,429 |
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| 57 |
| Comcosys (Communications) | 199,204 |
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| 58 |
| RevStream1 (Evidence) | 150 |
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| 59 |
| Ad-Res-J7 (Legal) | 31 |
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config.json
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@@ -34,7 +34,7 @@
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"num_cross_links": 3624,
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"num_edge_types": 4,
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"num_entities": 16,
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"num_evidence":
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"num_node_types": 10,
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"num_subsystems": 7,
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"subsystem_vocab": {
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"num_cross_links": 3624,
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"num_edge_types": 4,
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"num_entities": 16,
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"num_evidence": 300830,
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"num_node_types": 10,
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"num_subsystems": 7,
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"subsystem_vocab": {
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graph_data.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 6338112
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 144102596
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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": 3624,
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"node_types": {
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"entity": 16,
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"entity_document":
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"timeline_event":
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"hypergraph_node":
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"fund_flow_analysis": 4,
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"email": 199204,
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"lex_scheme": 13,
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},
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"subsystems": {
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"core": 16,
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"fincosys":
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"comcosys": 199204,
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"revstream1": 150,
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"ad_res_j7": 31
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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": 14071,
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"total_cross_links": 3624,
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"node_types": {
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"entity": 16,
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"entity_document": 12103,
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"timeline_event": 59955,
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"hypergraph_node": 29530,
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"fund_flow_analysis": 4,
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"email": 199204,
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"lex_scheme": 13,
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},
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"subsystems": {
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"core": 16,
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"fincosys": 101429,
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"comcosys": 199204,
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"revstream1": 150,
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"ad_res_j7": 31
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node_id_mapping.json
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