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
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Download README.md from alimagedayad/ner-ft: direct link, hf CLI and curl.
- Browser
- Download file 570 Bytes
-
https://huggingface.co/alimagedayad/ner-ft/resolve/main/README.md
- Command line
-
hf download hf://alimagedayad/ner-ft/README.md
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curl -L -o README.md https://huggingface.co/alimagedayad/ner-ft/resolve/main/README.md
570 Bytes
| tags: | |
| - spacy | |
| - token-classification | |
| language: | |
| - en | |
| | 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 | |
| <details> | |
| <summary>View label scheme (4 labels for 1 components)</summary> | |
| | Component | Labels | | |
| | --- | --- | | |
| | **`ner`** | `BANK`, `LOCATION`, `OP`, `VENDOR` | | |
| </details> |