Text Generation
fastText
Lithuanian
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-baltic
Instructions to use wikilangs/lt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/lt with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/lt", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 78e16e599c36986a26521b2c0e36bbf95971620e0584688f3954668171846f07
- Size of remote file:
- 363 kB
- SHA256:
- 074386340fce1068b0dcf8c470ab77b4d1f83c9354b266606dfa8601d7dd6575
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