Instructions to use Mbiot/spacy-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Mbiot/spacy-custom with spaCy:
!pip install https://huggingface.co/Mbiot/spacy-custom/resolve/main/spacy-custom-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("spacy-custom") # Importing as module. import spacy-custom nlp = spacy-custom.load() - Notebooks
- Google Colab
- Kaggle
Download tagger/model from Mbiot/spacy-custom: direct link, hf CLI and curl.
- Browser
- Download file 151 kB
-
https://huggingface.co/Mbiot/spacy-custom/resolve/main/tagger/model
- Command line
-
hf download hf://Mbiot/spacy-custom/tagger/model
-
curl -L -o model https://huggingface.co/Mbiot/spacy-custom/resolve/main/tagger/model
151 kB
- Xet hash:
- 5f73c49bfedec564726e436c0d32baabe5a2bdd5a63629dc467cabca668783f9
- Size of remote file:
- 151 kB
- SHA256:
- 023a9b98c9e5b689ea6bab9bdcb240f720c563a89a48199f4c60300a2ff6228d
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