Instructions to use abdulrehmanDev/en_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use abdulrehmanDev/en_pipeline with spaCy:
!pip install https://huggingface.co/abdulrehmanDev/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() - Notebooks
- Google Colab
- Kaggle
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.6.1,<3.7.0 |
| 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 (53 labels for 1 components)
| Component | Labels |
|---|---|
ner |
AGE, BASOPHILS, BASOPHILS RANGE, BASOPHILS RESULT, DOCTOR, DOCTORDEGINATION, EOSINOPHILS, EOSINOPHILS RANGE, EOSINOPHILS RESULT, GENDER, HAEMOGLOBIN, HAEMOGLOBIN RANGE (FEMALE), HAEMOGLOBIN RANGE (MALE), HAEMOGLOBIN RESULT, LAB PERSON NAME, LABNAME, LYMPHOCYTES, LYMPHOCYTES RANGE, LYMPHOCYTES RESULT, MCH, MCH RANGE, MCH RESULT, MCHC, MCHC RANGE, MCHC RESULT, MCV, MCV RANGE, MCV RESULT, MONOCYTES, MONOCYTES RANGE, MONOCYTES RESULT, NEUTROPHILS, NEUTROPHILS RANGE, NEUTROPHILS RESULT, PATIENTNAME, PCV , PCV RANGE, PCV RESULT, PLATELET COUNT, PLATELET COUNT RANGE, PLATELET COUNT RESULT, RBC COUNT, RBC RANGE, RBC RESULT, RDW , RDW RANGE, RDW RESULT, REF DOCTOR NAME, SAMPLECOLLECTDATE, TESTNAME, TOTAL WBC COUNT, TOTAL WBC COUNT RANGE, TOTAL WBC COUNT RESULT |
Accuracy
| Type | Score |
|---|---|
ENTS_F |
100.00 |
ENTS_P |
100.00 |
ENTS_R |
100.00 |
TOK2VEC_LOSS |
0.00 |
NER_LOSS |
0.00 |
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Evaluation results
- NER Precisionself-reported1.000
- NER Recallself-reported1.000
- NER F Scoreself-reported1.000