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

- Xet hash:
- 77b566935b92daba0f0c91e2ad815e389f9013c194110c7f51df960f020a50a2
- Size of remote file:
- 146 kB
- SHA256:
- e59b34d1b1039975227ef993f8fb4088ee13ad30346175f5241ad9522b0dd1d0
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