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

- Xet hash:
- 1eed023e95b5deefdb0f30e27b8075de85a9fbf9493a3aa51d103d1d3b9bc8f2
- Size of remote file:
- 263 kB
- SHA256:
- 4216fa0307a70cd28f344465da1f09270373106ecde4a4afb26223dcdfcfcc69
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