| Feature | Description |
|---|---|
| Name | es_COLNER |
| Version | 0.0.0 |
| spaCy | >=3.7.5,<3.8.0 |
| Default Pipeline | tok2vec, ner |
| Components | tok2vec, ner |
| Vectors | 500000 keys, 500000 unique vectors (300 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (1 labels for 1 components)
| Component | Labels |
|---|---|
ner |
LOC |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
91.71 |
ENTS_P |
94.15 |
ENTS_R |
89.39 |
TOK2VEC_LOSS |
2941.78 |
NER_LOSS |
38738.45 |
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Evaluation results
- NER Precisionself-reported0.941
- NER Recallself-reported0.894
- NER F Scoreself-reported0.917
!pip install https://huggingface.co/bsoviedo/es_COLNER/resolve/main/es_COLNER-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("es_COLNER") # Importing as module. import es_COLNER nlp = es_COLNER.load()