Instructions to use chrisknowles/en_stylecheck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use chrisknowles/en_stylecheck with spaCy:
!pip install https://huggingface.co/chrisknowles/en_stylecheck/resolve/main/en_stylecheck-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_stylecheck") # Importing as module. import en_stylecheck nlp = en_stylecheck.load() - Notebooks
- Google Colab
- Kaggle
| tags: | |
| - spacy | |
| - token-classification | |
| language: | |
| - en | |
| license: mit | |
| model-index: | |
| - name: en_stylecheck | |
| results: [] | |
| Check style on English text (currently passive text). | |
| | Feature | Description | | |
| | --- | --- | | |
| | **Name** | `en_stylecheck` | | |
| | **Version** | `0.0.1` | | |
| | **spaCy** | `>=3.1.1,<3.2.0` | | |
| | **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner`, `stylecheck` | | |
| | **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner`, `stylecheck` | | |
| | **Vectors** | 684830 keys, 20000 unique vectors (300 dimensions) | | |
| | **Sources** | n/a | | |
| | **License** | `MIT` | | |
| | **Author** | [Explosion](https://explosion.ai) | | |
| ### Label Scheme | |
| <details> | |
| <summary>View label scheme (115 labels for 5 components)</summary> | |
| | Component | Labels | | |
| | --- | --- | | |
| | **`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`, ```` | | |
| | **`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` | | |
| | **`senter`** | `I`, `S` | | |
| | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` | | |
| | **`entity_ruler`** | `PASSIVE` | | |
| </details> |