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

- Xet hash:
- 55312d5f229450aed310db0dd908241c9c7d173179f13bdf6dfe631f1f8ae1e9
- Size of remote file:
- 175 kB
- SHA256:
- a5ea519f4bbd914f618dcd689d2777975f3705835f525458645d7715b6f1fc63
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