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
Upload int8-col/model.json with huggingface_hub
Browse files- int8-col/model.json +3 -2
int8-col/model.json
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{
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"format": "spellman-model",
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"version":
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"canonicalize": true,
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"languages": [
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"rus",
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"ukr",
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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.
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"quant": {
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"dtype": "int8",
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"scheme": "column"
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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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"seed": 2654435769,
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"n_min": 1,
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"n_max": 5,
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"theta": 0.8369619846343994,
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"quant": {
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"dtype": "int8",
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"scheme": "column"
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