Text Generation
fastText
Latgalian
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/ltg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ltg with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ltg", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- d1578992b88a9677e9a91a7b211d61545399628759a026eb958ca7f0ba49be60
- Size of remote file:
- 362 kB
- SHA256:
- ca76f8d39ad5e4b02b4428a811a6f0fe4202200a5f4cad53d47dfe49ede6dc94
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