Instructions to use nitinyadav/continual_learning_ner_task2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use nitinyadav/continual_learning_ner_task2 with spaCy:
!pip install https://huggingface.co/nitinyadav/continual_learning_ner_task2/resolve/main/continual_learning_ner_task2-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("continual_learning_ner_task2") # Importing as module. import continual_learning_ner_task2 nlp = continual_learning_ner_task2.load() - Notebooks
- Google Colab
- Kaggle
Download medical-ner-task2/meta.json from nitinyadav/continual_learning_ner_task2: direct link, hf CLI and curl.
- Browser
- Download file 540 Bytes
-
https://huggingface.co/nitinyadav/continual_learning_ner_task2/resolve/main/medical-ner-task2/meta.json
- Command line
-
hf download hf://nitinyadav/continual_learning_ner_task2/medical-ner-task2/meta.json
-
curl -L -o meta.json https://huggingface.co/nitinyadav/continual_learning_ner_task2/resolve/main/medical-ner-task2/meta.json
540 Bytes
| { | |
| "lang":"en", | |
| "name":"pipeline", | |
| "version":"0.0.0", | |
| "spacy_version":">=3.7.5,<3.8.0", | |
| "description":"", | |
| "author":"", | |
| "email":"", | |
| "url":"", | |
| "license":"", | |
| "spacy_git_version":"a6d0fc360", | |
| "vectors":{ | |
| "width":0, | |
| "vectors":0, | |
| "keys":0, | |
| "name":null, | |
| "mode":"default" | |
| }, | |
| "labels":{ | |
| "ner":[ | |
| "ALLERGY", | |
| "CANCER", | |
| "CHRONIC DISEASE", | |
| "TREATMENT" | |
| ] | |
| }, | |
| "pipeline":[ | |
| "ner" | |
| ], | |
| "components":[ | |
| "ner" | |
| ], | |
| "disabled":[ | |
| ] | |
| } |