Text Generation
fastText
Pāli
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-indoaryan_central
Instructions to use wikilangs/pi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/pi with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/pi", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/zipf_law.png from wikilangs/pi: direct link, hf CLI and curl.
- Browser
- Download file 104 kB
-
https://huggingface.co/wikilangs/pi/resolve/main/visualizations/zipf_law.png
- Command line
-
hf download hf://wikilangs/pi/visualizations/zipf_law.png
-
curl -L -o zipf_law.png https://huggingface.co/wikilangs/pi/resolve/main/visualizations/zipf_law.png
104 kB

- Xet hash:
- 9af3931832f2aa5cad5c0a382c72851a5a0d9d22f28853fd5eda11d465759f38
- Size of remote file:
- 104 kB
- SHA256:
- 97b4f8c323cc7db01cfc1dd76f07ef590fd4d93273fc8003f43662428ffff5da
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