Instructions to use appfire/en_NER_Features with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use appfire/en_NER_Features with spaCy:
!pip install https://huggingface.co/appfire/en_NER_Features/resolve/main/en_NER_Features-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_NER_Features") # Importing as module. import en_NER_Features nlp = en_NER_Features.load() - Notebooks
- Google Colab
- Kaggle
File size: 615 Bytes
62551d6 | 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 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | {
"label_smoothing":0.0,
"labels":[
"$",
"''",
",",
"-LRB-",
"-RRB-",
".",
":",
"ADD",
"AFX",
"CC",
"CD",
"DT",
"EX",
"FW",
"HYPH",
"IN",
"JJ",
"JJR",
"JJS",
"LS",
"MD",
"NFP",
"NN",
"NNP",
"NNPS",
"NNS",
"PDT",
"POS",
"PRP",
"PRP$",
"RB",
"RBR",
"RBS",
"RP",
"SYM",
"TO",
"UH",
"VB",
"VBD",
"VBG",
"VBN",
"VBP",
"VBZ",
"WDT",
"WP",
"WP$",
"WRB",
"XX",
"_SP",
"``"
],
"neg_prefix":"!",
"overwrite":false
} |