Instructions to use Unmand/procare_business_unit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Unmand/procare_business_unit with spaCy:
!pip install https://huggingface.co/Unmand/procare_business_unit/resolve/main/procare_business_unit-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("procare_business_unit") # Importing as module. import procare_business_unit nlp = procare_business_unit.load() - Notebooks
- Google Colab
- Kaggle
| Feature | Description |
|---|---|
| Name | en_procare_business_unit |
| Version | 0.0.0 |
| spaCy | >=3.5.4,<3.6.0 |
| Default Pipeline | textcat_multilabel |
| Components | textcat_multilabel |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (30 labels for 1 components)
| Component | Labels |
|---|---|
textcat_multilabel |
Health and Wellbeing, NT Consulting, SA Workers Comp, VIC Workers Comp, ACT Consultancy, NSW Consulting, Staff Cards, NT MAC, NSW CTP, NSW Workers Comp, SA Consulting, ACT Workers Comp, Life and A&H, QLD Workers Comp, NT Workers Comp, Treatment, State Authorities Superannuation Scheme, ACT CTP, NULL, National Consulting, WA Workers Comp, QLD CTP, VIC TAC, WA Consulting, TAS Consulting, QLD Consulting, VIC Consulting, Comcare, TAS Workers Comp, SA CTP |
Accuracy
| Type | Score |
|---|---|
CATS_SCORE |
81.21 |
CATS_MICRO_P |
89.37 |
CATS_MICRO_R |
59.54 |
CATS_MICRO_F |
71.47 |
CATS_MACRO_P |
67.87 |
CATS_MACRO_R |
33.52 |
CATS_MACRO_F |
42.52 |
CATS_MACRO_AUC |
81.21 |
TEXTCAT_MULTILABEL_LOSS |
73.72 |
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