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
File size: 543 Bytes
1aa8385 930c02f 1aa8385 930c02f 1aa8385 930c02f 1aa8385 | 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 | {
"format": "spellman-model",
"version": 3,
"canonicalize": true,
"lexical": true,
"languages": [
"rus",
"ukr",
"bel",
"bul",
"mkd",
"srp",
"kaz",
"kir",
"tgk",
"uzn",
"tat",
"bak",
"chv",
"sah",
"tyv",
"mon",
"oss",
"che",
"udm",
"mhr",
"kpv",
"eng",
"spa",
"fra",
"por",
"deu",
"cmn",
"jpn",
"hin",
"ara"
],
"log2_d": 17,
"hash": "fmix32",
"seed": 2654435769,
"n_min": 1,
"n_max": 5,
"theta": 0.8369619846343994,
"quant": {
"dtype": "int8",
"scheme": "column"
}
} |