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
Download visualizations/embedding_similarity.png from wikilangs/shn: direct link, hf CLI and curl.
- Browser
- Download file 147 kB
-
https://huggingface.co/wikilangs/shn/resolve/main/visualizations/embedding_similarity.png
- Command line
-
hf download hf://wikilangs/shn/visualizations/embedding_similarity.png
-
curl -L -o embedding_similarity.png https://huggingface.co/wikilangs/shn/resolve/main/visualizations/embedding_similarity.png
147 kB

- Xet hash:
- c45f488b131af9dbf1838ab9ba8e48eaa85b624dccc2793ac5158a46e7d76e83
- Size of remote file:
- 147 kB
- SHA256:
- d5feaa0ffc3103e93f6203cd6867d6f4da19d897968b1ea16810f7bf69da3153
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