Instructions to use Tanor/sr_ner_tesla_bcx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Tanor/sr_ner_tesla_bcx with spaCy:
!pip install https://huggingface.co/Tanor/sr_ner_tesla_bcx/resolve/main/sr_ner_tesla_bcx-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("sr_ner_tesla_bcx") # Importing as module. import sr_ner_tesla_bcx nlp = sr_ner_tesla_bcx.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58fdfeef27cb787e8a9f93f956935f9a78677791fbb53466314e6a38e2477d34
- Size of remote file:
- 2.26 GB
- SHA256:
- 90c7ca694d8c4ca3b6500046f95a60ec8a72f7a704f5750d5e9df8fa4966ca6f
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