Instructions to use alimagedayad/ner-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use alimagedayad/ner-ft with spaCy:
!pip install https://huggingface.co/alimagedayad/ner-ft/resolve/main/ner-ft-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("ner-ft") # Importing as module. import ner-ft nlp = ner-ft.load() - Notebooks
- Google Colab
- Kaggle
| Feature | Description |
|---|---|
| Name | en_pipeline |
| Version | 0.0.0 |
| spaCy | >=3.5.2,<3.6.0 |
| 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 (4 labels for 1 components)
| Component | Labels |
|---|---|
ner |
BANK, LOCATION, OP, VENDOR |
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