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:
- 388865d86bb76770ff2d3be5b985a731fe3c55017654b68ba0d22694d2b9b975
- Size of remote file:
- 105 kB
- SHA256:
- ef147d5dae3cee79d8486003771229133db8a8f030cb023d62810c10e9c67dc2
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