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en_ner_100e_spacy_sm
dhiya96/en_ner_100e_spacy_sm
en_ner_100e_spacy_sm is a token classification model from dhiya96. Use it when you need labels on individual words, such as names. It is set up for spacy.
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At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Jan 31, 2024
- Updated
- Jan 31, 2024
- SHA
- e2ea9f0d
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Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_ner_100e_spacy_sm |
| Version | 0.0.0 |
| spaCy | >=3.6.1,<3.7.0 |
| 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 (1 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | SECTOR |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 78.57 |
ENTS_P | 79.33 |
ENTS_R | 77.83 |
TRANSFORMER_LOSS | 16084.24 |
NER_LOSS | 30188.33 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Jan 31, 2024
- Updated
- Jan 31, 2024