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:
- 50798e6d10ba2ef85d8222bec7166c507c6f0a2ca0c2e80d30970bf28d3e0faf
- Size of remote file:
- 107 kB
- SHA256:
- 7ccd952711e42f724a2cffd1b07da4d855bdbf2cb54e6617a0cdb3de1017ba24
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