| Feature | Description |
|---|---|
| Name | es_faculty_ner |
| Version | 0.1.0 |
| spaCy | >=3.8.4,<3.9.0 |
| 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
View label scheme (1 labels for 1 components)
| Component | Labels |
|---|---|
ner |
FACULTY |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
99.76 |
ENTS_P |
99.64 |
ENTS_R |
99.88 |
TOK2VEC_LOSS |
71121.42 |
NER_LOSS |
3476.43 |
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Evaluation results
- NER Precisionself-reported0.996
- NER Recallself-reported0.999
- NER F Scoreself-reported0.998
!pip install https://huggingface.co/riturralde/es_faculty_ner/resolve/main/es_faculty_ner-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("es_faculty_ner") # Importing as module. import es_faculty_ner nlp = es_faculty_ner.load()