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:
- e1ad09968b675b7a2a545f6e9041ebdd7456ff1f6b537967c44d23b1bb3e876a
- Size of remote file:
- 157 kB
- SHA256:
- 01517037a0c6976cbb8ce639960b44ff9bfee76faed134503de4fb220c4a34d3
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