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ru_patents_ner
Delicalib/ru_patents_ner
ru_patents_ner is a token classification model from Delicalib. Use it when you need labels on individual words, such as names. It is set up for spacy.
All-time downloads
188
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Repo size
9.1 GB
Likes
2
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Other1.3 GB · 52%
At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Mar 16, 2025
- Updated
- Jun 14, 2025
- SHA
- ebc4b9d2
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | ru_patents_ner |
| Version | 1.0.0 |
| spaCy | >=3.8.5,<3.9.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 500002 keys, 500002 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
<details> <summary>View label scheme (3 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | ATTRIBUTE, COMPONENT, SYSTEM |
Accuracy
| Type | Score |
|---|---|
F1_MICRO | 61.24 |
F1_MACRO | 54.82 |
F1_WEIGHTED | 60.09 |
F1_COMPONENT | 67.20 |
F1_SYSTEM | 64.79 |
F1_ATTRIBUTE | 32.48 |
ENTS_P | 61.87 |
ENTS_R | 60.63 |
ENTS_F | 61.24 |
TRANSFORMER_LOSS | 144452.32 |
NER_LOSS | 222665.13 |
- Task
- Token Classification
- Library
- spacy
- Languages
- ru
- Created
- Mar 16, 2025
- Updated
- Jun 14, 2025