Instructions to use PravinKonze321/course_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use PravinKonze321/course_ner with spaCy:
!pip install https://huggingface.co/PravinKonze321/course_ner/resolve/main/course_ner-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("course_ner") # Importing as module. import course_ner nlp = course_ner.load() - Notebooks
- Google Colab
- Kaggle
Download parser/model from PravinKonze321/course_ner: direct link, hf CLI and curl.
- Browser
- Download file 1.72 MB
-
https://huggingface.co/PravinKonze321/course_ner/resolve/main/parser/model
- Command line
-
hf download hf://PravinKonze321/course_ner/parser/model
-
curl -L -o model https://huggingface.co/PravinKonze321/course_ner/resolve/main/parser/model
1.72 MB
- Xet hash:
- e4d40d3f742696ec0a4e2741ce8365ff238fe6402e5555ad27d2286f84931349
- Size of remote file:
- 1.72 MB
- SHA256:
- eba066b403400fbd515f4fa4515be7bfff1f1dfa2a0c2613b3cf55087e84d833
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