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:
- 6771130a0422314780f4d557e5d2facca6a5697351aaa1a0628c372fbb691d32
- Size of remote file:
- 104 kB
- SHA256:
- c44ac149f3511aa24299788d1c524eea04bbf63f8dd3c5976f4c94ca76d72d10
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