Feature | Description |
---|---|
Name | en_pipeline |
Version | 0.0.0 |
spaCy | >=3.4.4,<3.5.0 |
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 (3 labels for 1 components)
Component | Labels |
---|---|
ner |
FOOD , QUANTITY , SERVING |
Accuracy
Type | Score |
---|---|
ENTS_F |
100.00 |
ENTS_P |
100.00 |
ENTS_R |
100.00 |
TRANSFORMER_LOSS |
62.83 |
NER_LOSS |
84.62 |
- Downloads last month
- 4
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Evaluation results
- NER Precisionself-reported1.000
- NER Recallself-reported1.000
- NER F Scoreself-reported1.000