Text Generation
fastText
Tyap
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-atlantic_other
Instructions to use wikilangs/kcg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/kcg with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/kcg", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- c7b49eecf561eb524829cb0335ddab5efac9fca75ca8dd107de312067ab34e38
- Size of remote file:
- 281 kB
- SHA256:
- 0cf1b28022a69384f751f1a61a4fb0e732d332e967d8fcc1e5ab825a0cdaebc4
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