Instructions to use RaThorat/en_ncv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use RaThorat/en_ncv with spaCy:
!pip install https://huggingface.co/RaThorat/en_ncv/resolve/main/en_ncv-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_ncv") # Importing as module. import en_ncv nlp = en_ncv.load() - Notebooks
- Google Colab
- Kaggle
Download meta.json from RaThorat/en_ncv: direct link, hf CLI and curl.
- Browser
- Download file 2.06 kB
-
https://huggingface.co/RaThorat/en_ncv/resolve/main/meta.json
- Command line
-
hf download hf://RaThorat/en_ncv/meta.json
-
curl -L -o meta.json https://huggingface.co/RaThorat/en_ncv/resolve/main/meta.json
2.06 kB
| { | |
| "lang":"en", | |
| "name":"ncv", | |
| "version":"0.0.0", | |
| "description":"", | |
| "author":"", | |
| "email":"", | |
| "url":"", | |
| "license":"", | |
| "spacy_version":">=3.4.3,<3.5.0", | |
| "spacy_git_version":"Unknown", | |
| "vectors":{ | |
| "width":0, | |
| "vectors":0, | |
| "keys":0, | |
| "name":null | |
| }, | |
| "labels":{ | |
| "tok2vec":[ | |
| ], | |
| "ner":[ | |
| "ACTIVITY", | |
| "GPE", | |
| "KEYWORD", | |
| "MEDIUM", | |
| "MONEY", | |
| "ORG", | |
| "PERSON", | |
| "POSITION", | |
| "RECOGNITION", | |
| "REPOSITORY", | |
| "WEBSITE", | |
| "YEAR" | |
| ] | |
| }, | |
| "pipeline":[ | |
| "tok2vec", | |
| "ner" | |
| ], | |
| "components":[ | |
| "tok2vec", | |
| "ner" | |
| ], | |
| "disabled":[ | |
| ], | |
| "performance":{ | |
| "ents_f":0.6618887015, | |
| "ents_p":0.7012058955, | |
| "ents_r":0.626746507, | |
| "ents_per_type":{ | |
| "PERSON":{ | |
| "p":0.8622090876, | |
| "r":0.8552583364, | |
| "f":0.8587196468 | |
| }, | |
| "YEAR":{ | |
| "p":0.472826087, | |
| "r":0.3766233766, | |
| "f":0.4192771084 | |
| }, | |
| "POSITION":{ | |
| "p":0.5510204082, | |
| "r":0.8059701493, | |
| "f":0.6545454545 | |
| }, | |
| "ORG":{ | |
| "p":0.4568527919, | |
| "r":0.6206896552, | |
| "f":0.5263157895 | |
| }, | |
| "RECOGNITION":{ | |
| "p":0.3513513514, | |
| "r":0.2954545455, | |
| "f":0.3209876543 | |
| }, | |
| "MONEY":{ | |
| "p":0.2272727273, | |
| "r":0.2, | |
| "f":0.2127659574 | |
| }, | |
| "GPE":{ | |
| "p":0.4244791667, | |
| "r":0.6572580645, | |
| "f":0.5158227848 | |
| }, | |
| "ACTIVITY":{ | |
| "p":0.0, | |
| "r":0.0, | |
| "f":0.0 | |
| }, | |
| "REPOSITORY":{ | |
| "p":0.7083333333, | |
| "r":0.4594594595, | |
| "f":0.5573770492 | |
| }, | |
| "WEBSITE":{ | |
| "p":0.6666666667, | |
| "r":0.16, | |
| "f":0.2580645161 | |
| }, | |
| "MEDIUM":{ | |
| "p":0.4761904762, | |
| "r":0.1960784314, | |
| "f":0.2777777778 | |
| }, | |
| "KEYWORD":{ | |
| "p":0.5, | |
| "r":0.0036585366, | |
| "f":0.0072639225 | |
| } | |
| }, | |
| "tok2vec_loss":7866.9562870075, | |
| "ner_loss":9655.5876780789 | |
| }, | |
| "requirements":[ | |
| ] | |
| } |