Instructions to use vpermilp/spellman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use vpermilp/spellman with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("vpermilp/spellman", "model.bin")) - Notebooks
- Google Colab
- Kaggle
v14 f16 store
Browse files- f16/model.json +48 -0
- f16/model.safetensors +3 -0
f16/model.json
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{
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"format": "spellman-model",
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"version": 3,
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"canonicalize": true,
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"lexical": true,
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"languages": [
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"rus",
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"ukr",
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"bel",
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"bul",
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"mkd",
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"srp",
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"kaz",
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"kir",
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"tgk",
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"uzn",
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"tat",
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"bak",
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"chv",
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"sah",
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"tyv",
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"mon",
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"oss",
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"che",
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"udm",
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"mhr",
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"kpv",
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"eng",
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"spa",
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"fra",
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"por",
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"deu",
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"cmn",
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"jpn",
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"hin",
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"ara"
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],
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"log2_d": 18,
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"hash": "fmix32",
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"seed": 2654435769,
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"n_min": 1,
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"n_max": 5,
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"theta": 0.67,
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"quant": {
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"dtype": "float16",
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"scheme": "none"
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}
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}
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f16/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c6cbb262b2d0b464fbcdba6cbdecaa12c50848192550f66e55ae791e9a928143
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size 15728912
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