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:
- 3773ce5f7505d8bd1f57fa50847c5ad8600a3228c65ee21c55f434e64227445e
- Size of remote file:
- 632 kB
- SHA256:
- 6a3dcadf0c58fbae2e8ea938474de0f881d60e90fcf59eb2c43976458d71a430
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