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:
- 5ff41ed426a0ab5460da2e644cdc2e99d7d1811e4d301b7e36b73c2582d1e3d2
- Size of remote file:
- 148 kB
- SHA256:
- 7cd64c867b0e78ef85b5b19fbd562cd93813d5f0238b57e85c12932cf3c35969
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