Text Generation
fastText
Tetum
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_other
Instructions to use wikilangs/tet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/tet with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/tet", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1897a9c4c2dfc196c9a8ddbed81415676c13b593ecc5a450442b7ff369d3528
- Size of remote file:
- 509 kB
- SHA256:
- c31faf688953c673d05002a9e9d04192779063b382c976a722ad85fb9065c1c4
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