| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.4.1,<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 (7 labels for 1 components)
| Component | Labels |
|---|---|
ner |
CAUSE, HIGH_BILL, INSTALL_METER, ISSUE, METER_CHECK, NEW_SERVICE, SITE_CHECK |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
100.00 |
ENTS_P |
100.00 |
ENTS_R |
100.00 |
TRANSFORMER_LOSS |
0.02 |
NER_LOSS |
0.01 |
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Evaluation results
- NER Precisionself-reported1.000
- NER Recallself-reported1.000
- NER F Scoreself-reported1.000
!pip install https://huggingface.co/Batool/en_pipeline/resolve/main/en_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_pipeline") # Importing as module. import en_pipeline nlp = en_pipeline.load()