Instructions to use NikosKprl/en_deberta_v3_base_ner_activity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use NikosKprl/en_deberta_v3_base_ner_activity with spaCy:
!pip install https://huggingface.co/NikosKprl/en_deberta_v3_base_ner_activity/resolve/main/en_deberta_v3_base_ner_activity-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_deberta_v3_base_ner_activity") # Importing as module. import en_deberta_v3_base_ner_activity nlp = en_deberta_v3_base_ner_activity.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6063378bc0ca744fea025020525181c06a5708f707924e6fa2eb5561369bf346
- Size of remote file:
- 207 kB
- SHA256:
- cf9fbf26f92ed134501fbdb0e0a5160baee55ec550d39ebc1970f0ab7c2d556a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.