Instructions to use Ophusdev/it_spacy_ner_trf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Ophusdev/it_spacy_ner_trf with spaCy:
!pip install https://huggingface.co/Ophusdev/it_spacy_ner_trf/resolve/main/it_spacy_ner_trf-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("it_spacy_ner_trf") # Importing as module. import it_spacy_ner_trf nlp = it_spacy_ner_trf.load() - Notebooks
- Google Colab
- Kaggle
File size: 591 Bytes
f9f696a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | {
"lang":"it",
"name":"spacy_ner_trf",
"version":"0.1",
"description":"",
"author":"",
"email":"",
"url":"",
"license":"",
"spacy_version":">=3.5.1,<3.6.0",
"spacy_git_version":"Unknown",
"vectors":{
"width":0,
"vectors":0,
"keys":0,
"name":null
},
"labels":{
"token_classification_transformer":[
]
},
"pipeline":[
"token_classification_transformer"
],
"components":[
"token_classification_transformer"
],
"disabled":[
],
"requirements":[
"spacy-wrap>=1.4.1,<1.5.0",
"spacy-transformers>=1.2.2,<1.3.0"
]
} |