Instructions to use magepol/en_tech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use magepol/en_tech with spaCy:
!pip install https://huggingface.co/magepol/en_tech/resolve/main/en_tech-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_tech") # Importing as module. import en_tech nlp = en_tech.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b361d7fec1d973585b3156832dcbcecce6b2cdcb273ac0b16bff5f615503cb99
- Size of remote file:
- 34.4 MB
- SHA256:
- c0e4f0307a5f6e32bbe280af0498f6b3c522ef0f58ed569996ad091e42c28b1f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.