Text Generation
fastText
Sundanese
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_javanese
Instructions to use wikilangs/su with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/su with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/su", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0181f97f8178bc02f73d5a2a6e36381cf6c8c3a7250a88ae8daec8ddda3fff18
- Size of remote file:
- 372 kB
- SHA256:
- 3ae374f93cf984462bc27ac5c04ba444bc025ecab019aeca6f0296f5b9493f9c
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