Instructions to use rdfez/tl_custom_spacy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use rdfez/tl_custom_spacy with spaCy:
!pip install https://huggingface.co/rdfez/tl_custom_spacy/resolve/main/tl_custom_spacy-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("tl_custom_spacy") # Importing as module. import tl_custom_spacy nlp = tl_custom_spacy.load() - Notebooks
- Google Colab
- Kaggle
File size: 1,162 Bytes
5db909f | 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 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 | {
"lang":"tl",
"name":"custom_spacy",
"version":"0.0.0",
"description":"",
"author":"",
"email":"",
"url":"",
"license":"",
"spacy_version":">=3.8.14,<3.9.0",
"spacy_git_version":"0069cf9",
"vectors":{
"width":0,
"vectors":0,
"keys":0,
"name":null
},
"labels":{
"tok2vec":[
],
"ner":[
"LOC",
"MISC",
"ORG",
"PER"
]
},
"pipeline":[
"tok2vec",
"ner"
],
"components":[
"tok2vec",
"ner"
],
"disabled":[
],
"performance":{
"ents_f":0.9504099961,
"ents_p":0.951896754,
"ents_r":0.9489278752,
"ents_per_type":{
"ORG":{
"p":0.9555555556,
"r":0.9335142469,
"f":0.9444063143
},
"PER":{
"p":0.96886121,
"r":0.9749328559,
"f":0.9718875502
},
"MISC":{
"p":0.9011627907,
"r":0.9144542773,
"f":0.9077598829
},
"LOC":{
"p":0.9403794038,
"r":0.9327956989,
"f":0.9365721997
}
},
"tok2vec_loss":461.2963491074,
"ner_loss":161.8862357107
},
"requirements":[
"spacy>=3.8.14,<3.9.0"
]
} |