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

- Xet hash:
- 7f6a191f960441fa5ef9b7f6835feb4d0e8c93ea9ea5768a864798e3962ac828
- Size of remote file:
- 393 kB
- SHA256:
- d3d72c92f43acbce0eec67aa889729bc1a926afcdb021ee6ddde35b8bfe625da
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