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:
- e967ee813a634251366158cee3401feb31ac10614e9e2e42864eae9498d0f75e
- Size of remote file:
- 1.4 MB
- SHA256:
- c2dc717f7e5887a168b315aa950b9f65f374686f4c9e7329fc8a283811a21fa4
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