Text Generation
fastText
Northern 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/se with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/se with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/se", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 92463d2b8eafcd19be37de229de665e14cd688aed2c968e6663c25065632bfe9
- Size of remote file:
- 638 kB
- SHA256:
- 6c1fd5fea56f4477698ec95f741f6769617dba63477cdd6e4bb458913db2ad05
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