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
Download visualizations/zipf_law.png from wikilangs/tw: direct link, hf CLI and curl.
- Browser
- Download file 106 kB
-
https://huggingface.co/wikilangs/tw/resolve/main/visualizations/zipf_law.png
- Command line
-
hf download hf://wikilangs/tw/visualizations/zipf_law.png
-
curl -L -o zipf_law.png https://huggingface.co/wikilangs/tw/resolve/main/visualizations/zipf_law.png
106 kB

- Xet hash:
- 7c285a44e42c21f9fd24030ffdd5409ee992c0166307873273ae51741a66755b
- Size of remote file:
- 106 kB
- SHA256:
- 790ed7d49d46ffab5eebc020e9d8a7893085084502922a8d23a16e18c635386a
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