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:
- 5113df91fe7e593950f45cd3fd8105ffb354e48eeaa0e318599fdeb8b12b8628
- Size of remote file:
- 655 kB
- SHA256:
- 7b03a7c624cbde2aa17648648ad18044793da9ba09d163beff091c536ce79099
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