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

- Xet hash:
- 820e18f2740061ddca0edb06c15cd5a614e9e70e9f4790a2de74546eefaf6de3
- Size of remote file:
- 145 kB
- SHA256:
- 53dbf5275f276232d9f8e3415a8d59f17b1b268c20e3be1a8bd93abf347dccbc
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