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

- Xet hash:
- 97f41aaabe8d056e66e1117507fccb5e661b1f12bb7a6e29a37b743bcfca5563
- Size of remote file:
- 275 kB
- SHA256:
- 8ae51c9331fe6c28f599032a51a292c9827adf8a719588cc3af954033dcb57f9
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