Instructions to use Ybhav14/en_Spacy_Custom_ner2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Ybhav14/en_Spacy_Custom_ner2 with spaCy:
!pip install https://huggingface.co/Ybhav14/en_Spacy_Custom_ner2/resolve/main/en_Spacy_Custom_ner2-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_Spacy_Custom_ner2") # Importing as module. import en_Spacy_Custom_ner2 nlp = en_Spacy_Custom_ner2.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9811ae6eece726e9ec16a088b9d6188e20b041dc08ef5c6c0afdde0e4bc30d0d
- Size of remote file:
- 6.01 MB
- SHA256:
- 211fe5fa4283e43ae6b34bffbd19f77e63212df73a934ce5ba9fbebd06b93c5f
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