Text Generation
fastText
Komering
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/kge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/kge with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/kge", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- aac0a58ed3fad7afeb0490ac153cd400afa32c4cda9a880e9f59c1ea67b5ff3d
- Size of remote file:
- 230 kB
- SHA256:
- 43b412a3a72e4c81cf007d0add38356d7fd866ee0c61255db6f6971c1c5be824
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