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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("drzo/unicosys-hypergraph", device_map="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
- tokenizer.json +42 -42
README.md
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@@ -38,11 +38,11 @@ single trainable knowledge representation.
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| Total Nodes | 198,
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| Total Edges | 13,
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| Cross-Links | 3,616 |
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| Entities | 16 |
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| Emails | 197,
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| Financial Documents | 0 |
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| Timeline Events | 10 |
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| LEX Schemes | 0 |
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| Core (Entities) | 16 |
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| Fincosys (Financial) | 0 |
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| Comcosys (Communications) | 197,
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| RevStream1 (Evidence) | 0 |
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| Ad-Res-J7 (Legal) | 10 |
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| Total Nodes | 198,001 |
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| Total Edges | 13,491 |
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| Cross-Links | 3,616 |
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| Entities | 16 |
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| Emails | 197,975 |
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| Financial Documents | 0 |
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| Timeline Events | 10 |
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| LEX Schemes | 0 |
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| Core (Entities) | 16 |
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| Fincosys (Financial) | 0 |
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| Comcosys (Communications) | 197,975 |
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| RevStream1 (Evidence) | 0 |
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| Ad-Res-J7 (Legal) | 10 |
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config.json
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"num_cross_links": 3616,
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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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"subsystem_vocab": {
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graph_data.safetensors
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model.safetensors
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model_summary.json
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node_id_mapping.json
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tokenizer.json
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