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en_pipeline
vrjayaprakash/en_pipeline
en_pipeline is a token classification model from vrjayaprakash. Use it when you need labels on individual words, such as names. It is set up for spacy.
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Repo size
875 MB
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Other455 MB · 51%
At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Dec 21, 2025
- Updated
- Dec 21, 2025
- SHA
- 5eb937ef
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.8.11,<3.9.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 684830 keys, 342918 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
<details> <summary>View label scheme (3 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | MEDICALCONDITION, MEDICINE, PATHOGEN |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 98.81 |
ENTS_P | 99.21 |
ENTS_R | 98.43 |
TOK2VEC_LOSS | 4046.29 |
NER_LOSS | 16368.23 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Dec 21, 2025
- Updated
- Dec 21, 2025