Instructions to use Valentijn/en_tenarchexp3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Valentijn/en_tenarchexp3 with spaCy:
!pip install https://huggingface.co/Valentijn/en_tenarchexp3/resolve/main/en_tenarchexp3-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_tenarchexp3") # Importing as module. import en_tenarchexp3 nlp = en_tenarchexp3.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e206acaa7317580bc8c58d48da86e6d129afacbabaa7d1554cf1e16a6913ff24
- Size of remote file:
- 6.59 MB
- SHA256:
- 03cfe325492b4dacc138e96e01ccafc06f43f853c89a28f00da5ea0eb05a231c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.