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:
- 00e0225aa26c78daca2d0504df4e5e2549e00ec7b3becfe63f0d847201f141ec
- Size of remote file:
- 656 kB
- SHA256:
- 70956a64b458d5c46584cf6f57751b0e9b1473740c55f0fc92cbc528f5ca89bf
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