Instructions to use spacy/lt_core_news_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use spacy/lt_core_news_sm with spaCy:
!pip install https://huggingface.co/spacy/lt_core_news_sm/resolve/main/lt_core_news_sm-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("lt_core_news_sm") # Importing as module. import lt_core_news_sm nlp = lt_core_news_sm.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59ee3ad8d6afb7e08c4edcf603c3bb5affa8e406a5179cb6927996ac9a07bb4f
- Size of remote file:
- 305 kB
- SHA256:
- c0704dd7c51ebd2170ec0af0757901eeae5d5f967f04bfe6e9c5cd9db27d45f7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.