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:
- 69d726be1214616fac99e3ce7129f3c6601d618bc776e6e13db05868c27f48c3
- Size of remote file:
- 116 kB
- SHA256:
- fe2305ec103c672a52a42d75f9de1b4f8fe98400d86ae88d2fccc71af56bb490
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