Instructions to use fuzzyethic/NER-ONETONOTE5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use fuzzyethic/NER-ONETONOTE5 with spaCy:
!pip install https://huggingface.co/fuzzyethic/NER-ONETONOTE5/resolve/main/NER-ONETONOTE5-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("NER-ONETONOTE5") # Importing as module. import NER-ONETONOTE5 nlp = NER-ONETONOTE5.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e9029ba160b43c11363e8bdc541b4d6c0b8d8f41192033a03fe3f38dec40aa6
- Size of remote file:
- 6.27 MB
- SHA256:
- e84fc06eb319c94d28e460fc334e292120b01f18baa5dc8b50c977459820a090
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.