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en_pipeline
Govind-Vurjana/en_pipeline
en_pipeline is a token classification model from Govind-Vurjana. Use it when you need labels on individual words, such as names. It is set up for spacy.
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Other659 MB · 52%
At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Feb 26, 2024
- Updated
- Feb 26, 2024
- SHA
- 6e921d24
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Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.7.2,<3.8.0 |
| 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 (16 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | AGE GROUP, BENCHMARKS, CADAVERS/BIOMECHANICAL/NONCLINICAL, DEVICE, FOLLOW UP, INDICATION, LEVEL OF EVIDENCE , MANAGEMENT, PERFORMANCE OUTCOMES, RISK FACTORS, SAFETY OUTCOMES, SCORES, SEX, STATISTICAL SIGNIFICANCE, STRYKER, STUDY TYPE |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 98.61 |
ENTS_P | 98.51 |
ENTS_R | 98.71 |
TOK2VEC_LOSS | 44342.33 |
NER_LOSS | 204832.98 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Feb 26, 2024
- Updated
- Feb 26, 2024