| Feature | Description |
|---|---|
| Name | de_extr_summ |
| Version | 0.0.0 |
| spaCy | >=3.7.2,<3.8.0 |
| 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 (2 labels for 1 components)
| Component | Labels |
|---|---|
ner |
Agreement, Klöser |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
97.84 |
ENTS_P |
99.32 |
ENTS_R |
96.39 |
TRANSFORMER_LOSS |
8692.25 |
NER_LOSS |
485216.62 |
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Evaluation results
- NER Precisionself-reported0.993
- NER Recallself-reported0.964
- NER F Scoreself-reported0.978
!pip install https://huggingface.co/MSLars/de_extr_summ/resolve/main/de_extr_summ-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("de_extr_summ") # Importing as module. import de_extr_summ nlp = de_extr_summ.load()