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

- Xet hash:
- ead1f9db5399626b9d9834299bb5043e3ca2b146df7b14d720c1ee21c63e878e
- Size of remote file:
- 370 kB
- SHA256:
- ffc4f5066aa711fe714daf7b6b604772fd186be99091519d67f2bdf2131fda75
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