Text Generation
fastText
sh
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-slavic_south
Instructions to use wikilangs/sh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/sh with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/sh", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 560f2861eeec4b7a297eabc69435118fe83208066e0f4c68c7463343c20908e1
- Size of remote file:
- 107 kB
- SHA256:
- a93a78dd2dc8d168d1094ac8c62c7116f7336e8389391f084864c8d59f8d432a
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