| Feature | Description |
|---|---|
| Name | es_COLNER_uncleaned |
| Version | 0.0.0 |
| spaCy | >=3.8.4,<3.9.0 |
| Default Pipeline | transformer, ner |
| Components | transformer, ner |
| Vectors | 0 keys, 0 unique vectors (0 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 |
96.77 |
ENTS_P |
96.06 |
ENTS_R |
97.50 |
TRANSFORMER_LOSS |
2051.59 |
NER_LOSS |
8819.29 |
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Evaluation results
- NER Precisionself-reported0.961
- NER Recallself-reported0.975
- NER F Scoreself-reported0.968
!pip install https://huggingface.co/bsoviedo/es_COLNER_uncleaned/resolve/main/es_COLNER_uncleaned-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("es_COLNER_uncleaned") # Importing as module. import es_COLNER_uncleaned nlp = es_COLNER_uncleaned.load()