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:
- 91e6959b143d5592e4362f3a50a7d4e3ac7768f4aadd7768041f4d167ae14bb2
- Size of remote file:
- 614 kB
- SHA256:
- 719f5979c82d57211dc8a231945af779bbc4b50b3ce12498445559a2a446a92f
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