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
Download tokenizer from valurank/en_readability: direct link, hf CLI and curl.
- Browser
- Download file 77.1 kB
-
https://huggingface.co/valurank/en_readability/resolve/main/tokenizer
- Command line
-
hf download hf://valurank/en_readability/tokenizer
-
curl -L -o tokenizer https://huggingface.co/valurank/en_readability/resolve/main/tokenizer
77.1 kB
- Xet hash:
- 5e29d52c38aa295d894018ad0fc79cf2a267442a0432c0533c5f1526d84607a8
- Size of remote file:
- 77.1 kB
- SHA256:
- b014e8bba4958b120af2d0c1c63eabb7c00379f2bacaf10df7c5325efd2ea467
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