Instructions to use Tanor/sr_pner_tesla_bcx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Tanor/sr_pner_tesla_bcx with spaCy:
!pip install https://huggingface.co/Tanor/sr_pner_tesla_bcx/resolve/main/sr_pner_tesla_bcx-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("sr_pner_tesla_bcx") # Importing as module. import sr_pner_tesla_bcx nlp = sr_pner_tesla_bcx.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f69f1d53170847c8414fffee538adbd666d2b7bbe12a0e9a2f860f123b25ebd2
- Size of remote file:
- 2.26 GB
- SHA256:
- 95dbbac4ce9565e560c73f53296ce9073f6ed8bdcf30b58ee2dee4acf0b7a76b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.