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:
- 98940818164dd0fcefb0bc4daeecbd96f8fd6cc5de141ec8cb8e153653194e68
- Size of remote file:
- 120 kB
- SHA256:
- ad9ce4b605af5946e36a6219dcd46e09f70e64f81b3cb4223514ecc8e19b502b
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