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en_ner_sensitive_spacy
MoinKhan3012/en_ner_sensitive_spacy
en_ner_sensitive_spacy is a token classification model from MoinKhan3012. Use it when you need labels on individual words, such as names. It is set up for spacy.
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1.3 GB
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Other659 MB · 52%
At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Apr 28, 2024
- Updated
- Apr 28, 2024
- SHA
- 231e9eac
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_ner_sensitive_spacy |
| Version | 0.0.0 |
| spaCy | >=3.6.1,<3.7.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 514157 keys, 514157 unique vectors (300 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 | APP |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 100.00 |
ENTS_P | 100.00 |
ENTS_R | 100.00 |
TOK2VEC_LOSS | 0.00 |
NER_LOSS | 0.00 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Apr 28, 2024
- Updated
- Apr 28, 2024