Instructions to use Tanor/sr_pner_tesla_bbmc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Tanor/sr_pner_tesla_bbmc with spaCy:
!pip install https://huggingface.co/Tanor/sr_pner_tesla_bbmc/resolve/main/sr_pner_tesla_bbmc-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("sr_pner_tesla_bbmc") # Importing as module. import sr_pner_tesla_bbmc nlp = sr_pner_tesla_bbmc.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fc0ee0c7ee262e773c542bea3c9072208c42d75455d9167f7fc1a3727489f20
- Size of remote file:
- 673 MB
- SHA256:
- e97fd1b864aa06c25906c4529eaf49418c6a97b92ea8d0beb0710bb6e62184dd
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