Instructions to use andreids/en_classification_of_services with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use andreids/en_classification_of_services with spaCy:
!pip install https://huggingface.co/andreids/en_classification_of_services/resolve/main/en_classification_of_services-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_classification_of_services") # Importing as module. import en_classification_of_services nlp = en_classification_of_services.load() - Notebooks
- Google Colab
- Kaggle
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Download README.md from andreids/en_classification_of_services: direct link, hf CLI and curl.
- Browser
- Download file 973 Bytes
-
https://huggingface.co/andreids/en_classification_of_services/resolve/main/README.md
- Command line
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hf download hf://andreids/en_classification_of_services/README.md
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curl -L -o README.md https://huggingface.co/andreids/en_classification_of_services/resolve/main/README.md
973 Bytes
| tags: | |
| - spacy | |
| - text-classification | |
| language: | |
| - en | |
| model-index: | |
| - name: en_classification_of_services | |
| results: [] | |
| | Feature | Description | | |
| | --- | --- | | |
| | **Name** | `en_classification_of_services` | | |
| | **Version** | `0.0.0` | | |
| | **spaCy** | `>=3.4.3,<3.5.0` | | |
| | **Default Pipeline** | `textcat` | | |
| | **Components** | `textcat` | | |
| | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) | | |
| | **Sources** | n/a | | |
| | **License** | n/a | | |
| | **Author** | [n/a]() | | |
| ### Label Scheme | |
| <details> | |
| <summary>View label scheme (2 labels for 1 components)</summary> | |
| | Component | Labels | | |
| | --- | --- | | |
| | **`textcat`** | `other`, `service` | | |
| </details> | |
| ### Accuracy | |
| | Type | Score | | |
| | --- | --- | | |
| | `CATS_SCORE` | 99.89 | | |
| | `CATS_MICRO_P` | 99.98 | | |
| | `CATS_MICRO_R` | 99.98 | | |
| | `CATS_MICRO_F` | 99.98 | | |
| | `CATS_MACRO_P` | 99.99 | | |
| | `CATS_MACRO_R` | 99.80 | | |
| | `CATS_MACRO_F` | 99.89 | | |
| | `CATS_MACRO_AUC` | 99.90 | | |
| | `CATS_MACRO_AUC_PER_TYPE` | 0.00 | | |
| | `TEXTCAT_LOSS` | 0.00 | |