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
Download ner/model from Tanor/sr_ner_tesla_bcx: direct link, hf CLI and curl.
- Browser
- Download file 310 kB
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https://huggingface.co/Tanor/sr_ner_tesla_bcx/resolve/main/ner/model
- Command line
-
hf download hf://Tanor/sr_ner_tesla_bcx/ner/model
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curl -L -o model https://huggingface.co/Tanor/sr_ner_tesla_bcx/resolve/main/ner/model
310 kB
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