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:
- 400733b6bac22dcc97793392fd6bcce81bd411756d2a987145d9e2f6fdc9430c
- Size of remote file:
- 640 kB
- SHA256:
- a01e159eaffa3707eb68f3372360dd76abc602ec1b4343220af02d11fbe92eee
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