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_tsne_multilingual.png from wikilangs/smn: direct link, hf CLI and curl.
- Browser
- Download file 245 kB
-
https://huggingface.co/wikilangs/smn/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/smn/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/smn/resolve/main/visualizations/embedding_tsne_multilingual.png
245 kB

- Xet hash:
- d1e5459bb7941fab7fb437cb2c6f5e2aef856a727898d20067eb6dcc55762c7c
- Size of remote file:
- 245 kB
- SHA256:
- 033f642e1e3c7d9455a5ceedc4ef8e7ab9ff11fe1e9b5242a31060c5aad44c3b
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