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
Download l2-models/tokenizer from PH-Weingarten/AISOP-oop-classifier: direct link, hf CLI and curl.
- Browser
- Download file 49.3 kB
-
https://huggingface.co/PH-Weingarten/AISOP-oop-classifier/resolve/main/l2-models/tokenizer
- Command line
-
hf download hf://PH-Weingarten/AISOP-oop-classifier/l2-models/tokenizer
-
curl -L -o tokenizer https://huggingface.co/PH-Weingarten/AISOP-oop-classifier/resolve/main/l2-models/tokenizer
49.3 kB
- Xet hash:
- bb7d547b854bba020649ab926b2f2f346b1013e1a0a0ac538a3fa10597b1fa5f
- Size of remote file:
- 49.3 kB
- SHA256:
- de9ff2caf5338582c90987fe9e6c5f06855639e7565433030950092240636a1c
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