Instructions to use Phazel/fa_floret_full_wiki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Phazel/fa_floret_full_wiki with spaCy:
!pip install https://huggingface.co/Phazel/fa_floret_full_wiki/resolve/main/fa_floret_full_wiki-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("fa_floret_full_wiki") # Importing as module. import fa_floret_full_wiki nlp = fa_floret_full_wiki.load() - Notebooks
- Google Colab
- Kaggle
File size: 1,332 Bytes
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"lang": "fa",
"name": "floret_full_wiki",
"version": "0.1.0",
"description": "Persian floret static vector table: 50,000 rows x 300 dimensions, floret mode, minn=maxn=5, hash_count=2, trained on the full Persian Wikipedia dump. Vectors only, no pipeline components. Same table size as fa_floret_400k over a larger corpus; the fa_*_news_lg tier uses the 200,000-row fa_floret_wiki_200k instead.",
"author": "Kiyarash Fazeli",
"email": "kiyarash@nlogn.ir",
"url": "https://github.com/Fazel94/spacy-persian",
"license": "CC BY-SA 4.0",
"sources": [
{
"name": "fa_floret static vectors (50k rows x 300d, floret mode, full Persian Wikipedia dump)",
"url": "https://github.com/Fazel94/spacy-persian",
"author": "Kiyarash Fazeli",
"license": "CC BY-SA 4.0"
},
{
"name": "Persian Wikipedia dump (fawiki), the text the vector table is trained on",
"url": "https://dumps.wikimedia.org/fawiki/",
"author": "Wikipedia contributors",
"license": "CC BY-SA 4.0"
}
],
"spacy_version": ">=3.8.15,<3.9.0",
"spacy_git_version": "f69c32f",
"vectors": {
"width": 300,
"vectors": 50000,
"keys": -1,
"name": "floret"
},
"labels": {},
"pipeline": [],
"components": [],
"disabled": [],
"requirements": [
"spacy>=3.8.15,<3.9.0"
]
}
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