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:
- d1678439bd883cc14cad0f0b1ae13a7e194675148bff87a804722fb8c8f0c753
- Size of remote file:
- 360 kB
- SHA256:
- 9642b60b5fff9ade1e97e090c09362a5f112f9f70a2c333b43a0aca2906b6790
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