Instructions to use willem640/grc_grammateus_classifier_documentary_greberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use willem640/grc_grammateus_classifier_documentary_greberta with spaCy:
!pip install https://huggingface.co/willem640/grc_grammateus_classifier_documentary_greberta/resolve/main/grc_grammateus_classifier_documentary_greberta-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("grc_grammateus_classifier_documentary_greberta") # Importing as module. import grc_grammateus_classifier_documentary_greberta nlp = grc_grammateus_classifier_documentary_greberta.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55aba98b67082a285b089dfb6c50f73abace412c28628b8038fdeb9341fe6e43
- Size of remote file:
- 11.3 MB
- SHA256:
- adc860a6a57abd36e5c12d7772f656e879db13f61780b797ef7fc20617d305c1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.