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en_ner_fashion
bsenst/en_ner_fashion
en_ner_fashion is a token classification model from bsenst. Use it when you need labels on individual words, such as names. It is set up for spacy.
All-time downloads
51
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Repo size
7.3 MB
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1
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Other3.9 MB · 51%
At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Feb 5, 2024
- Updated
- Feb 5, 2024
- SHA
- f8f2d895
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_ner_fashion |
| Version | 0.0.0 |
| spaCy | >=3.7.2,<3.8.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, 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 (1 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | FASHION_BRAND |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 57.84 |
ENTS_P | 69.41 |
ENTS_R | 49.58 |
TOK2VEC_LOSS | 12527.00 |
NER_LOSS | 29603.77 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Feb 5, 2024
- Updated
- Feb 5, 2024