Text Generation
fastText
Inari Sami
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-uralic_saami
Instructions to use wikilangs/smn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/smn with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/smn", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_similarity.png from wikilangs/smn: direct link, hf CLI and curl.
- Browser
- Download file 146 kB
-
https://huggingface.co/wikilangs/smn/resolve/main/visualizations/embedding_similarity.png
- Command line
-
hf download hf://wikilangs/smn/visualizations/embedding_similarity.png
-
curl -L -o embedding_similarity.png https://huggingface.co/wikilangs/smn/resolve/main/visualizations/embedding_similarity.png
146 kB

- Xet hash:
- f7356e9afa530f8f9eec868180b38b2fdac5e34596a45473dde2cb22462fa344
- Size of remote file:
- 146 kB
- SHA256:
- ef377328f2d10edf91e3fbee11a6ac5c6aa1a77f25f77d1fb16c03bc5485b2f4
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