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

- Xet hash:
- e37f3e54c8e8d02c0c6507b089af9aa75df223d91b3c7d6a0f1d1baf3b5ee1be
- Size of remote file:
- 372 kB
- SHA256:
- ecd9d654fe0df8811edfbc75af0103d76ae8947a38828df45faf8938169bf6e2
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