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
| ��moves�${"0":{},"1":{"TREATMENT":-1,"CHRONIC DISEASE":-2,"ALLERGY":-3,"CANCER":-4},"2":{"TREATMENT":-1,"CHRONIC DISEASE":-2,"ALLERGY":-3,"CANCER":-4},"3":{"TREATMENT":-1,"CHRONIC DISEASE":-2,"ALLERGY":-3,"CANCER":-4},"4":{"":1,"TREATMENT":-1,"CHRONIC DISEASE":-2,"ALLERGY":-3,"CANCER":-4},"5":{"":1}}�cfg��neg_key� |