Instructions to use NikosKprl/en_deberta_v3_base_ner_method 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_method with spaCy:
!pip install https://huggingface.co/NikosKprl/en_deberta_v3_base_ner_method/resolve/main/en_deberta_v3_base_ner_method-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_deberta_v3_base_ner_method") # Importing as module. import en_deberta_v3_base_ner_method nlp = en_deberta_v3_base_ner_method.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87143d2b4a3b0a5276b4ad37cc2cf0898e4ac8e71f081165e6ee587642ad2eb5
- Size of remote file:
- 207 kB
- SHA256:
- 49e828828e3738ccd105007448353944c0e7286d96ccb9e2f5b6b2c46f3fb61a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.