Instructions to use te-sla/sr_nel_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use te-sla/sr_nel_all with spaCy:
!pip install https://huggingface.co/te-sla/sr_nel_all/resolve/main/sr_nel_all-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("sr_nel_all") # Importing as module. import sr_nel_all nlp = sr_nel_all.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d08e8bd9dc93ddab95406c9bc29d292b3080ceab836f8f4f300e5dd917759a62
- Size of remote file:
- 25.2 MB
- SHA256:
- a6c80023372815b9f585fd885b425855b647c1a32d33288f11030583929e8685
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.