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

- Xet hash:
- 412773e2180af8f5c69a6ae0e7375d30b4bb78011b263a1f027216db74357ad9
- Size of remote file:
- 371 kB
- SHA256:
- d1fe41eba10cac3ab23cfaa3cfd1e95942526f43a98daa9dd68e31c3ac4bef9f
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