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
Download ner/model from NikosKprl/en_deberta_v3_base_ner_method: direct link, hf CLI and curl.
- Browser
- Download file 207 kB
-
https://huggingface.co/NikosKprl/en_deberta_v3_base_ner_method/resolve/main/ner/model
- Command line
-
hf download hf://NikosKprl/en_deberta_v3_base_ner_method/ner/model
-
curl -L -o model https://huggingface.co/NikosKprl/en_deberta_v3_base_ner_method/resolve/main/ner/model
207 kB
- Xet hash:
- cb8bd287454fb2aa87173d1e523fd2b18060e770ece2fb18e9903276292ed6de
- Size of remote file:
- 207 kB
- SHA256:
- 7305959b493cd5e8468b9af741d28e10616e08ff5c1a4cdd0879ee5247a15e7d
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