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en_pipeline
Madhana/en_pipeline
en_pipeline is a token classification model from Madhana. Use it when you need labels on individual words, such as names. It is set up for spacy.
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Repo size
927 MB
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Other502 MB · 54%
At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Apr 23, 2023
- Updated
- Apr 23, 2023
- SHA
- a7148558
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.5.1,<3.6.0 |
| 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 (6 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | BUILDING, CITY, NAME, NEIGHBORHOOD, PHONE NUMBER, STREET |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 99.78 |
ENTS_P | 99.71 |
ENTS_R | 99.85 |
TRANSFORMER_LOSS | 21301.86 |
NER_LOSS | 25081.95 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Apr 23, 2023
- Updated
- Apr 23, 2023