Text Generation
fastText
Moksha
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-uralic_volgaic
Instructions to use wikilangs/mdf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/mdf with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/mdf", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 00e842b2617638da348d03e76a11341983d02fe96cd691e1e532b4a4f42303f1
- Size of remote file:
- 289 kB
- SHA256:
- 6df4a19df3e25e336dec70e36b6d70bb0532ce5d4aa556f69d0aa08cdeca8850
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