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:
- 304307b5f253a539051aed800ea5fd3ff7cbf153dae1e2ae62f3a82ff06b68ee
- Size of remote file:
- 147 kB
- SHA256:
- 84867a56fe89e71827ae06a6a78316c5885f0e4fda4ffd96bae691304098c7e6
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