Instructions to use manjaveca/entity-extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use manjaveca/entity-extractor with spaCy:
!pip install https://huggingface.co/manjaveca/entity-extractor/resolve/main/entity-extractor-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("entity-extractor") # Importing as module. import entity-extractor nlp = entity-extractor.load() - Notebooks
- Google Colab
- Kaggle
Download ner/moves from manjaveca/entity-extractor: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/manjaveca/entity-extractor/resolve/main/ner/moves
- Command line
-
hf download hf://manjaveca/entity-extractor/ner/moves
-
curl -L -o moves https://huggingface.co/manjaveca/entity-extractor/resolve/main/ner/moves
1.06 kB
| ��moves�{"0":{},"1":{"ORG":56516,"DATE":40493,"PERSON":36534,"GPE":26745,"MONEY":15158,"CARDINAL":14109,"NORP":9641,"PERCENT":9199,"WORK_OF_ART":4488,"LOC":4055,"TIME":3678,"QUANTITY":3123,"FAC":3046,"EVENT":3021,"ORDINAL":2142,"PRODUCT":1787,"LAW":1624,"LANGUAGE":355},"2":{"ORG":56516,"DATE":40493,"PERSON":36534,"GPE":26745,"MONEY":15158,"CARDINAL":14109,"NORP":9641,"PERCENT":9199,"WORK_OF_ART":4488,"LOC":4055,"TIME":3678,"QUANTITY":3123,"FAC":3046,"EVENT":3021,"ORDINAL":2142,"PRODUCT":1787,"LAW":1624,"LANGUAGE":355},"3":{"ORG":56516,"DATE":40493,"PERSON":36534,"GPE":26745,"MONEY":15158,"CARDINAL":14109,"NORP":9641,"PERCENT":9199,"WORK_OF_ART":4488,"LOC":4055,"TIME":3678,"QUANTITY":3123,"FAC":3046,"EVENT":3021,"ORDINAL":2142,"PRODUCT":1787,"LAW":1624,"LANGUAGE":355},"4":{"ORG":56516,"DATE":40493,"PERSON":36534,"GPE":26745,"MONEY":15158,"CARDINAL":14109,"NORP":9641,"PERCENT":9199,"WORK_OF_ART":4488,"LOC":4055,"TIME":3678,"QUANTITY":3123,"FAC":3046,"EVENT":3021,"ORDINAL":2142,"PRODUCT":1787,"LAW":1624,"LANGUAGE":355,"":1},"5":{"":1}}�cfg��neg_key� |