Instructions to use daviibrt/en_core_sci_scibert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use daviibrt/en_core_sci_scibert with spaCy:
!pip install https://huggingface.co/daviibrt/en_core_sci_scibert/resolve/main/en_core_sci_scibert-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_core_sci_scibert") # Importing as module. import en_core_sci_scibert nlp = en_core_sci_scibert.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a02fd1d5f31f30fbb73497e7f3806286abef57c199c54394837b446a1bfb4642
- Size of remote file:
- 1.51 MB
- SHA256:
- 1504b9319c38e397eef41f4b6f97d943aae5c3dbf24d9c2ebb38f132dac49225
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