Text Generation
fastText
Tok Pisin
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-germanic_west_anglofrisian
Instructions to use wikilangs/tpi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/tpi with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/tpi", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/zipf_law.png from wikilangs/tpi: direct link, hf CLI and curl.
- Browser
- Download file 109 kB
-
https://huggingface.co/wikilangs/tpi/resolve/main/visualizations/zipf_law.png
- Command line
-
hf download hf://wikilangs/tpi/visualizations/zipf_law.png
-
curl -L -o zipf_law.png https://huggingface.co/wikilangs/tpi/resolve/main/visualizations/zipf_law.png
109 kB

- Xet hash:
- e50acbc6bb644f31d79cecdcc40e884cb6bdf2348c76587b51bc6755175d76f8
- Size of remote file:
- 109 kB
- SHA256:
- 1bec0fcba3535a7a0e55e9b046e4e7daabadc660172cda49048700ee1e73e7b7
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