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:
- 6ff7f178c197c68635fa6128be4b87b835434ef0adb63944c6badcead46c8e4b
- Size of remote file:
- 100 kB
- SHA256:
- 7f61499ae401e9acf9b2fd5e0a4d8b428d175c1c4a09effe2bc77369d3807287
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