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
Download ner/model from daviibrt/en_core_sci_scibert: direct link, hf CLI and curl.
- Browser
- Download file 6.14 MB
-
https://huggingface.co/daviibrt/en_core_sci_scibert/resolve/main/ner/model
- Command line
-
hf download hf://daviibrt/en_core_sci_scibert/ner/model
-
curl -L -o model https://huggingface.co/daviibrt/en_core_sci_scibert/resolve/main/ner/model
6.14 MB
- Xet hash:
- 71f16fba71ed6098c891f497c30653f6f8da41957552470cb4b9f0e740d951e1
- Size of remote file:
- 6.14 MB
- SHA256:
- 82e9840185600f649367640a539b87b2f44334d6133997388bc9c19c8650eee9
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