Instructions to use PH-Weingarten/AISOP-oop-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use PH-Weingarten/AISOP-oop-classifier with spaCy:
!pip install https://huggingface.co/PH-Weingarten/AISOP-oop-classifier/resolve/main/AISOP-oop-classifier-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("AISOP-oop-classifier") # Importing as module. import AISOP-oop-classifier nlp = AISOP-oop-classifier.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d27fad09c3f6e44e3b7d0d5a7124a112fc224c631e9ba903d23bd7e454f720e9
- Size of remote file:
- 6.27 MB
- SHA256:
- f57c0f4fb800793c9d49c8a2e62a4221239a9802808a58756a6a5739e5b7eae4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.