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:
- 964d7ea550a52b4b1b17dea215d5df748ceec3d1ef0e51090459149711aa7825
- Size of remote file:
- 1.03 GB
- SHA256:
- 61c1eb00b67587d1d72fc459e9174e27a6e0b306dcc07eb45600910bc73db83a
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