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

- Xet hash:
- 670d1986fc598e7867c3df625c022c7967322efd9be85c7e302598273223583f
- Size of remote file:
- 110 kB
- SHA256:
- b7c79ae7aa4988db187fb7bccba49f70f189b742304c016fe8a9084ea2334ef0
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