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

- Xet hash:
- 54131f3bc3d6af16807bb7005fca75f2988b6662ac31cd8cb63961b7b802f1a0
- Size of remote file:
- 163 kB
- SHA256:
- d54c06fbe0cc8729f85f81fb6db61a56a22116e641597b25e3a1a8cd5bcd650a
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