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:
- f74fc7d62a7a12c8096e5282cca7da17b35b6e2320a93870c7321c46517447da
- Size of remote file:
- 441 MB
- SHA256:
- 4cff38cedf119b23c52176dbc5734dccc2ea37c8119766dd1f5ec74981a3cfc5
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