Instructions to use Tanor/sr_ner_tesla_bbmc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Tanor/sr_ner_tesla_bbmc with spaCy:
!pip install https://huggingface.co/Tanor/sr_ner_tesla_bbmc/resolve/main/sr_ner_tesla_bbmc-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("sr_ner_tesla_bbmc") # Importing as module. import sr_ner_tesla_bbmc nlp = sr_ner_tesla_bbmc.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24304a6e5d551b09904e5266deade831b547b01cedf41e1219efb88dc3a856af
- Size of remote file:
- 673 MB
- SHA256:
- 33c92e0c13afcbdcc7526b4f58a015beb8f4e9a34830258408e5807f3673cf63
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