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
| { | |
| "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": "float16", | |
| "scheme": "none" | |
| } | |
| } |