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ner_model
nimamegh/ner_model
ner_model is a token classification model from nimamegh. Use it when you need labels on individual words, such as names. It is set up for spacy.
All-time downloads
116
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Repo size
1.3 GB
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1
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Other747 MB · 56%
At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Jul 31, 2024
- Updated
- Jul 31, 2024
- SHA
- 17387ce5
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.7.5,<3.8.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
<details> <summary>View label scheme (8 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | B-LAW, B-VIOLATED BY, B-VIOLATED ON, B-VIOLATION, I-LAW, I-VIOLATED BY, I-VIOLATED ON, I-VIOLATION |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 92.20 |
ENTS_P | 93.09 |
ENTS_R | 91.34 |
TRANSFORMER_LOSS | 16253.98 |
NER_LOSS | 13899.54 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Jul 31, 2024
- Updated
- Jul 31, 2024