A named entity recognition model for chemical entities.
Feature | Description |
— | — |
Name | en_chem_ner |
Version | 0.1.0 |
spaCy | >=3.7.5,<3.8.0 |
Default Pipeline | tok2vec, ner |
Components | tok2vec, ner |
Vectors | 0 keys, 0 unique vectors (0 dimensions) |
Sources | n/a |
License | MIT |
Author | [Dinga Wonanke]() |
### Label Scheme
<details>
<summary>View label scheme (1 labels for 1 components)</summary>
Component | Labels |
— | — |
`ner` | CHEMICAL |
</details>
### Accuracy
Type | Score |
— | — |
ENTS_F | 91.45 |
ENTS_P | 91.40 |
ENTS_R | 91.50 |
TOK2VEC_LOSS | 75815.27 |
NER_LOSS | 124867.54 |
1 maintainer
Metadata
1 maintainer
Release files for en-chem-ner 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| en_chem_ner-0.1.0.tar.gz | 6.4 MB | Details |
Release files / en_chem_ner-0.1.0.tar.gz
| Download URL | en_chem_ner-0.1.0.tar.gz |
|---|---|
| Size | 6.4 MB |
| Tags | Source |
|
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twine/6.2.0 CPython/3.10.8
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