Text Generation
fastText
Venda
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-bantu_southern
Instructions to use wikilangs/ve with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ve with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ve", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- a1680b18d339b52b8128ebbdeed690f6e1b2002f212892dde88710e1089e979d
- Size of remote file:
- 257 kB
- SHA256:
- 86b2057acedfe9dc79b361a93883e1788e54986752758667b0b05a893a68f2fa
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