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en_pipeline
krotzz/en_pipeline
en_pipeline is a token classification model from krotzz. Use it when you need labels on individual words, such as names. It is set up for spacy.
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Repo size
3.4 GB
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Other1.7 GB · 73%
At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Jun 23, 2024
- Updated
- Jun 25, 2024
- SHA
- 7fc05799
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Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.7.5,<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 (26 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | ANGLE, CHEMICAL TERM, COUNTABLE, DECIMAL, EQU, EQUATION CITATION, FIGURE CITATION, FRACTION, GREEK VARIABLE, LEADING ZERO, NAMEDATE REF. CITATION, NUMBER, OPERATOR, ORDINAL, ORIENTATION, PERCENTAGE, RANGE, RATIO, ROMAN NUMBER, SI UNIT, SI UNIT , TABLE CITATION, THOUSANDS OPERATOR, THOUSANDS SEPARATOR, TIME UNIT, YEAR |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 98.38 |
ENTS_P | 98.48 |
ENTS_R | 98.28 |
TOK2VEC_LOSS | 34785.41 |
NER_LOSS | 84008.34 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Jun 23, 2024
- Updated
- Jun 25, 2024