Text Generation
fastText
Atayal
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-austronesian_formosan
Instructions to use wikilangs/tay with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/tay with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/tay", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/zipf_law.png from wikilangs/tay: direct link, hf CLI and curl.
- Browser
- Download file 105 kB
-
https://huggingface.co/wikilangs/tay/resolve/main/visualizations/zipf_law.png
- Command line
-
hf download hf://wikilangs/tay/visualizations/zipf_law.png
-
curl -L -o zipf_law.png https://huggingface.co/wikilangs/tay/resolve/main/visualizations/zipf_law.png
105 kB

- Xet hash:
- e21b5a29179ec504091b46aa4e1590a9b0a8f97be44c191d5eaaf6e10b6d96af
- Size of remote file:
- 105 kB
- SHA256:
- ccb17f16f69e408f977cb9542f58f13d8c367aca056ef120ea915bf7fae2a896
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