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ru_patents_rel_large
Delicalib/ru_patents_rel_large
ru_patents_rel_large is a machine learning model from Delicalib. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for spacy.
All-time downloads
40
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Repo size
2.8 GB
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0
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Other1.4 GB · 52%
At a glance
- Library
- spacy
- Access
- Public
- Created
- May 29, 2025
- Updated
- May 29, 2025
- SHA
- fca83f13
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | ru_patents_rel_large |
| Version | 1.0.0 |
| spaCy | >=3.8.5,<3.9.0 |
| Default Pipeline | transformer, relation_extractor |
| Components | transformer, relation_extractor |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
<details> <summary>View label scheme (5 labels for 1 components)</summary>| Component | Labels |
|---|---|
relation_extractor | PART-OF, LOCATED-AT, CONNECTED-WITH, IN-MANNER-OF, ATTRIBUTE-FOR |
Accuracy
| Type | Score |
|---|---|
REL_MICRO_P | 53.87 |
REL_MICRO_R | 21.91 |
REL_MICRO_F | 31.16 |
REL_MACRO_F | 24.38 |
REL_WEIGHTED_F | 30.36 |
F1_PART-OF | 44.58 |
F1_LOCATED-AT | 25.52 |
F1_CONNECTED-WITH | 15.19 |
F1_IN-MANNER-OF | 17.82 |
F1_ATTRIBUTE-FOR | 18.78 |
F1_MACRO | 0.00 |
F1_WEIGHTED | 0.00 |
TRANSFORMER_LOSS | 0.83 |
RELATION_EXTRACTOR_LOSS | 115.56 |
- Library
- spacy
- Languages
- ru
- Created
- May 29, 2025
- Updated
- May 29, 2025