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en_pipeline
bcalzadilla/en_pipeline
en_pipeline is a token classification model from bcalzadilla. Use it when you need labels on individual words, such as names. It is set up for spacy.
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35.1 MB
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At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Jan 5, 2023
- Updated
- Feb 15, 2023
- SHA
- 2426bfc1
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.4.3,<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 (11 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | AMOUNT, BILLED TO, INVOICE DATE, INVOICE NUMBER, PROVIDER, TABLEROW 1, TABLEROW 2, TABLEROW 3, TABLEROW 4, TABLEROW 5, TABLEROW 6 |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 99.17 |
ENTS_P | 99.17 |
ENTS_R | 99.17 |
TOK2VEC_LOSS | 3632.16 |
NER_LOSS | 11047.27 |
- Task
- Token Classification
- Library
- spacy
- Languages
- en
- Created
- Jan 5, 2023
- Updated
- Feb 15, 2023