Instructions to use UBIAI/en_scibert_ScienceIE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use UBIAI/en_scibert_ScienceIE with spaCy:
!pip install https://huggingface.co/UBIAI/en_scibert_ScienceIE/resolve/main/en_scibert_ScienceIE-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_scibert_ScienceIE") # Importing as module. import en_scibert_ScienceIE nlp = en_scibert_ScienceIE.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fce1b259ba674d0d2246c07f547da8daff36dd6d45bc8e973cb2bcd377fbab90
- Size of remote file:
- 220 kB
- SHA256:
- 96a26986d41970d45af8f3a8b0366e635a71a6ed373f5b31211eae6ce23db930
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.