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en_pipeline
dksari/en_pipeline
en_pipeline is a token classification model from dksari. Use it when you need labels on individual words, such as names. It is set up for spacy. The card lists the license as mit.
All-time downloads
210
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Repo size
8.7 MB
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0
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Other4.7 MB · 52%
At a glance
- Task
- Token Classification
- Library
- spacy
- License
- mit
- Access
- Public
- Created
- Jun 14, 2022
- Updated
- Jun 14, 2022
- SHA
- a1993945
Try a prompt
Model card
From the Hugging Face model README
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.3.1,<3.4.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | MIT |
| Author | Dian Kurniasari |
Label Scheme
<details> <summary>View label scheme (6 labels for 1 components)</summary>| Component | Labels |
|---|---|
ner | geneexpression, localization, negativeregulation, phosphorylation, positiveregulation, proteincatabolism |
Accuracy
| Type | Score |
|---|---|
ENTS_F | 100.00 |
ENTS_P | 100.00 |
ENTS_R | 100.00 |
TOK2VEC_LOSS | 92639.74 |
NER_LOSS | 12636.18 |
- Task
- Token Classification
- Library
- spacy
- License
- mit
- Languages
- en
- Created
- Jun 14, 2022
- Updated
- Jun 14, 2022