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:
- fa2e914f661d7781cd460933ffc4843a833fee36edb205f7eabdd3405292d6b1
- Size of remote file:
- 519 MB
- SHA256:
- c1cb99225ff99e80958243cc2e67fce2eb38f0e76199a4d88d7c55167c1a5e8b
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