Instructions to use andreids/en_ner_sender with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use andreids/en_ner_sender with spaCy:
!pip install https://huggingface.co/andreids/en_ner_sender/resolve/main/en_ner_sender-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_ner_sender") # Importing as module. import en_ner_sender nlp = en_ner_sender.load() - Notebooks
- Google Colab
- Kaggle
File size: 808 Bytes
2d98221 d8857c9 2d98221 d8857c9 2d98221 d8857c9 2d98221 d8857c9 2d98221 | 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 | {
"lang":"en",
"name":"ner_sender",
"version":"0.0.0",
"description":"",
"author":"",
"email":"",
"url":"",
"license":"",
"spacy_version":">=3.4.3,<3.5.0",
"spacy_git_version":"63673a792",
"vectors":{
"width":300,
"vectors":20000,
"keys":514157,
"name":"en_vectors"
},
"labels":{
"tok2vec":[
],
"ner":[
"SENDER"
]
},
"pipeline":[
"tok2vec",
"ner"
],
"components":[
"tok2vec",
"ner"
],
"disabled":[
],
"performance":{
"ents_f":0.000693969,
"ents_p":0.0004453432,
"ents_r":0.0015710586,
"ents_per_type":{
"SENDER":{
"p":0.0004453432,
"r":0.0015710586,
"f":0.000693969
}
},
"tok2vec_loss":0.0,
"ner_loss":172.000005722
},
"requirements":[
]
} |