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:
- fb2443bf7488d23d6b21f1dbb6227f18ef181f01e3bfef1f2c7bf21eb99dc093
- Size of remote file:
- 114 kB
- SHA256:
- 67c2bd118d7412e8fd3dd3a56d239a890519d3ec750798b051a466a90f7341dd
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