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:
- 2795ed02699140e0da0f9cb0b7f74f15b0461cffbb874afe08b546148d0b8af9
- Size of remote file:
- 239 kB
- SHA256:
- 948d90235b68c0998e39a321852d0d2ad5bf4132df0e6e6807c53a0867bfc348
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