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:
- 204124392cb18811eb5914893f0fa8d1c21d00cea5840cfe1a62915bda5e60c8
- Size of remote file:
- 516 kB
- SHA256:
- 4e90c16b0804e0a0fabf0c7de74b0a9f98445922228d1fdf7ee95583b558a360
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