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

- Xet hash:
- a1c84d9e52cffab791032ecaa4d895b8169b20535d1b49324ecf6d3e350ef614
- Size of remote file:
- 259 kB
- SHA256:
- 72ab589d517213f9ad62ced0d2f7e6559a694025e67b4fba4a26bd473358a53d
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