Instructions to use valurank/en_readability with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use valurank/en_readability with spaCy:
!pip install https://huggingface.co/valurank/en_readability/resolve/main/en_readability-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_readability") # Importing as module. import en_readability nlp = en_readability.load() - Notebooks
- Google Colab
- Kaggle
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README.md
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@@ -11,7 +11,7 @@ A Spacy pipeline for generating readability scores
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| **Name** | `en_readability` |
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| **Version** | `0.1` |
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| **spaCy** | `>=3.
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| **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `readability` |
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| **Components** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `readability` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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| **Name** | `en_readability` |
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| **Version** | `0.1` |
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| **spaCy** | `>=3.4.0,<3.5.0` |
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| **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `readability` |
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| **Components** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `readability` |
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| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
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