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

- Xet hash:
- 75f028c02a94fa14a1f88047e6ff62236509deb3875aaa74e410224ea93335ca
- Size of remote file:
- 254 kB
- SHA256:
- 7c59912d765ba17c8268dfd28b8bab2860f885d5dff48428335a011847b46908
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