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:
- 94f96a7e71089f3ee43216c506da30a519f2df428736cf3a1591231b6cfa9d09
- Size of remote file:
- 367 kB
- SHA256:
- b95b3b5bea1313530c40c3f9608e199df766cfe0f77ed48b209b737f7db26b46
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