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
| { | |
| "lang":"en", | |
| "name":"readability", | |
| "version":"0.1", | |
| "description":"A Spacy pipeline for generating readability scores", | |
| "author":"Valurank", | |
| "email":"", | |
| "url":"www.valurank.com", | |
| "license":"", | |
| "spacy_version":">=3.7.2,<3.8.0", | |
| "spacy_git_version":"a89eae928", | |
| "vectors":{ | |
| "width":0, | |
| "vectors":0, | |
| "keys":0, | |
| "name":null | |
| }, | |
| "labels":{ | |
| "tok2vec":[ | |
| ], | |
| "tagger":[ | |
| "$", | |
| "''", | |
| ",", | |
| "-LRB-", | |
| "-RRB-", | |
| ".", | |
| ":", | |
| "ADD", | |
| "AFX", | |
| "CC", | |
| "CD", | |
| "DT", | |
| "EX", | |
| "FW", | |
| "HYPH", | |
| "IN", | |
| "JJ", | |
| "JJR", | |
| "JJS", | |
| "LS", | |
| "MD", | |
| "NFP", | |
| "NN", | |
| "NNP", | |
| "NNPS", | |
| "NNS", | |
| "PDT", | |
| "POS", | |
| "PRP", | |
| "PRP$", | |
| "RB", | |
| "RBR", | |
| "RBS", | |
| "RP", | |
| "SYM", | |
| "TO", | |
| "UH", | |
| "VB", | |
| "VBD", | |
| "VBG", | |
| "VBN", | |
| "VBP", | |
| "VBZ", | |
| "WDT", | |
| "WP", | |
| "WP$", | |
| "WRB", | |
| "XX", | |
| "_SP", | |
| "``" | |
| ], | |
| "parser":[ | |
| "ROOT", | |
| "acl", | |
| "acomp", | |
| "advcl", | |
| "advmod", | |
| "agent", | |
| "amod", | |
| "appos", | |
| "attr", | |
| "aux", | |
| "auxpass", | |
| "case", | |
| "cc", | |
| "ccomp", | |
| "compound", | |
| "conj", | |
| "csubj", | |
| "csubjpass", | |
| "dative", | |
| "dep", | |
| "det", | |
| "dobj", | |
| "expl", | |
| "intj", | |
| "mark", | |
| "meta", | |
| "neg", | |
| "nmod", | |
| "npadvmod", | |
| "nsubj", | |
| "nsubjpass", | |
| "nummod", | |
| "oprd", | |
| "parataxis", | |
| "pcomp", | |
| "pobj", | |
| "poss", | |
| "preconj", | |
| "predet", | |
| "prep", | |
| "prt", | |
| "punct", | |
| "quantmod", | |
| "relcl", | |
| "xcomp" | |
| ], | |
| "attribute_ruler":[ | |
| ] | |
| }, | |
| "pipeline":[ | |
| "tok2vec", | |
| "tagger", | |
| "parser", | |
| "attribute_ruler", | |
| "readability" | |
| ], | |
| "components":[ | |
| "tok2vec", | |
| "tagger", | |
| "parser", | |
| "attribute_ruler", | |
| "readability" | |
| ], | |
| "disabled":[ | |
| ], | |
| "author_email":"hello@valurank.com", | |
| "performance":{ | |
| }, | |
| "pipeline_tag":"text-classification", | |
| "requirements":[ | |
| ] | |
| } |