Instructions to use sigtica/en_data_dev_spacy_lg_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use sigtica/en_data_dev_spacy_lg_1 with spaCy:
!pip install https://huggingface.co/sigtica/en_data_dev_spacy_lg_1/resolve/main/en_data_dev_spacy_lg_1-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_data_dev_spacy_lg_1") # Importing as module. import en_data_dev_spacy_lg_1 nlp = en_data_dev_spacy_lg_1.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04a572777e99a46c930dc927a9bb2c6957c4be6e25248e4951099b10fbf4a46d
- Size of remote file:
- 6.38 MB
- SHA256:
- c1eb6a1a55de06f9429d31c077ed78e981dbb7d1574e0340b35f4fd3f52e84e9
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