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en_pipeline
EricPeter/en_pipeline
en_pipeline is a token classification model from EricPeter. Use it when you need labels on individual words, such as names. It is set up for spacy.
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Repo size
25.6 MB
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At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Sep 13, 2022
- Updated
- Sep 15, 2022
- SHA
- 97e17765
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Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.4.1,<3.5.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, 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 (20 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | APPLICATIONS, COLLEGE, COMMENT, CURRENCY, FIGURE, FURNITURE, GADGET, GPE, INSTITUITIONS, LOCATION, ORG, PEOPLE, PERIOD, PERSON, PROGRAM, SHELTER, SKILL, TIME, WEATHER CONDITION, YEAR |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 93.93 |
ENTS_P | 93.42 |
ENTS_R | 94.45 |
TOK2VEC_LOSS | 25728.50 |
NER_LOSS | 421749.70 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Sep 13, 2022
- Updated
- Sep 15, 2022