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:
- d9ed7b8135cd1eff33dbe83551c3d5bf789e597371e80dd6ed2d5523b21ee323
- Size of remote file:
- 517 MB
- SHA256:
- 66843fc78ccf95d0fe67cae4a4b6a13b31a3d3cecdee37606558fa73d5fda7d1
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