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

- Xet hash:
- 09c922936a9fc8297fbc309879796608bc1de4bf18de4e3149e3071627de5322
- Size of remote file:
- 683 kB
- SHA256:
- c3cf0bcb58a190956c1234069a43033246619fd12b677a8a728027db8262e8d4
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