| Feature | Description |
|---|---|
| Name | es_program_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 |
PROGRAM |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
99.53 |
ENTS_P |
99.22 |
ENTS_R |
99.84 |
TOK2VEC_LOSS |
12637.70 |
NER_LOSS |
4985.93 |
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Evaluation results
- NER Precisionself-reported0.992
- NER Recallself-reported0.998
- NER F Scoreself-reported0.995
!pip install https://huggingface.co/riturralde/es_program_ner/resolve/main/es_program_ner-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("es_program_ner") # Importing as module. import es_program_ner nlp = es_program_ner.load()