Instructions to use oh201516/en_setec_mk_tv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use oh201516/en_setec_mk_tv with spaCy:
!pip install https://huggingface.co/oh201516/en_setec_mk_tv/resolve/main/en_setec_mk_tv-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_setec_mk_tv") # Importing as module. import en_setec_mk_tv nlp = en_setec_mk_tv.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cabcc5cbad6a426455aed93bab7ee0605677bdeab48f4b0530e9535514fed00
- Size of remote file:
- 6.01 MB
- SHA256:
- 7be441857a8c135260482c1df51b8b17e52cd474db43e444d3af93d79d8fd105
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.