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hussnainahmedsaqib/en_pipeline
en_pipeline is a token classification model from hussnainahmedsaqib. Use it when you need labels on individual words, such as names. It is set up for spacy.
Downloads · 30 days
2
6% of all-time downloads
All-time downloads
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From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_pipeline |
| 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 |
| Component | Labels |
|---|---|
ner | degree, experience, majors, publications, skills |
| Type | Score |
|---|---|
ENTS_F | 80.18 |
ENTS_P | 81.85 |
ENTS_R | 78.59 |
TRANSFORMER_LOSS | 242502.27 |
NER_LOSS | 113952.88 |