Instructions to use rdfez/tl_custom_calamancy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use rdfez/tl_custom_calamancy with spaCy:
!pip install https://huggingface.co/rdfez/tl_custom_calamancy/resolve/main/tl_custom_calamancy-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("tl_custom_calamancy") # Importing as module. import tl_custom_calamancy nlp = tl_custom_calamancy.load() - Notebooks
- Google Colab
- Kaggle
File size: 1,178 Bytes
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"lang":"tl",
"name":"custom_calamancy",
"version":"0.0.0",
"description":"",
"author":"",
"email":"",
"url":"",
"license":"",
"spacy_version":">=3.8.14,<3.9.0",
"spacy_git_version":"0069cf9",
"vectors":{
"width":300,
"vectors":714435,
"keys":714435,
"name":"tl_pipeline.vectors"
},
"labels":{
"tok2vec":[
],
"ner":[
"LOC",
"MISC",
"ORG",
"PER"
]
},
"pipeline":[
"tok2vec",
"ner"
],
"components":[
"tok2vec",
"ner"
],
"disabled":[
],
"performance":{
"ents_f":0.9626022594,
"ents_p":0.961852861,
"ents_r":0.9633528265,
"ents_per_type":{
"ORG":{
"p":0.9656593407,
"r":0.9538670285,
"f":0.9597269625
},
"PER":{
"p":0.9803571429,
"r":0.9829901522,
"f":0.981671882
},
"MISC":{
"p":0.9132947977,
"r":0.9321533923,
"f":0.9226277372
},
"LOC":{
"p":0.944,
"r":0.9516129032,
"f":0.9477911647
}
},
"tok2vec_loss":0.0,
"ner_loss":234.5750634747
},
"requirements":[
"spacy>=3.8.14,<3.9.0"
]
} |