Instructions to use spacy/en_core_web_lg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use spacy/en_core_web_lg with spaCy:
!pip install https://huggingface.co/spacy/en_core_web_lg/resolve/main/en_core_web_lg-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_core_web_lg") # Importing as module. import en_core_web_lg nlp = en_core_web_lg.load() - Notebooks
- Google Colab
- Kaggle
could you please explain to me the whole process of fine-tuning and assigning each TAG or LABEL
#2
by MohamedZouabi - opened
could you please explain to me the whole process of fine-tuning and assigning each TAG or LABEL ?
i notice that there are those ner : CARDINAL, DATE, EVENT, FAC, GPE, LANGUAGE, LAW, LOC, MONEY, NORP, ORDINAL, ORG, PERCENT, PERSON, PRODUCT, QUANTITY, TIME, WORK_OF_ART
can i add my own "ner" , so the model identify "2 bedrooms" as BEDROOMS for example ?
have you use a dataset ? etc...
thank you in advance and have a nice day