Instructions to use nitinyadav/continual_learning_ner_task3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use nitinyadav/continual_learning_ner_task3 with spaCy:
!pip install https://huggingface.co/nitinyadav/continual_learning_ner_task3/resolve/main/continual_learning_ner_task3-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("continual_learning_ner_task3") # Importing as module. import continual_learning_ner_task3 nlp = continual_learning_ner_task3.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31b4c371223253a5ddc024671fe367e40af94c6e8aebe6b353bc9312142462e5
- Size of remote file:
- 3.84 MB
- SHA256:
- fa5325be193a7742bb6fab92f80240d11272c510a9775c1196644f47c8077ac8
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