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:
- cd2ca988efe6a27d0ee0fae15372b45221297314c347d15ca34b6f9ff8a9ba24
- Size of remote file:
- 241 kB
- SHA256:
- af48c7eaa88b12a17335416d9532a23eea09beac7609dc27b74e4a7aeeb9933e
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