Instructions to use Agreus/en_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Agreus/en_pipeline with spaCy:
!pip install https://huggingface.co/Agreus/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 | >=3.7.2,<3.8.0 |
| Default Pipeline | ner |
| Components | ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (9 labels for 1 components)
| Component | Labels |
|---|---|
ner |
AM_TIME_END, AM_TIME_START, DATE_END, DATE_START, MILITARY_TIME_END, MILITARY_TIME_START, PM_TIME_END, PM_TIME_START, REASON |
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