Instructions to use Zlovoblachko/fo_sent_split_parse_fold1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Zlovoblachko/fo_sent_split_parse_fold1 with spaCy:
!pip install https://huggingface.co/Zlovoblachko/fo_sent_split_parse_fold1/resolve/main/fo_sent_split_parse_fold1-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("fo_sent_split_parse_fold1") # Importing as module. import fo_sent_split_parse_fold1 nlp = fo_sent_split_parse_fold1.load() - Notebooks
- Google Colab
- Kaggle
Download transformer/model from Zlovoblachko/fo_sent_split_parse_fold1: direct link, hf CLI and curl.
- Browser
- Download file 673 MB
-
https://huggingface.co/Zlovoblachko/fo_sent_split_parse_fold1/resolve/main/transformer/model
- Command line
-
hf download hf://Zlovoblachko/fo_sent_split_parse_fold1/transformer/model
-
curl -L -o model https://huggingface.co/Zlovoblachko/fo_sent_split_parse_fold1/resolve/main/transformer/model
673 MB
- Xet hash:
- eb457b376155e315f88ebec7029478ae4e5cef746311390a54a1cf04c346c266
- Size of remote file:
- 673 MB
- SHA256:
- 165e909750fe669802ef5ea886857085122de02998a9fcbdd298049d565d8911
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