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:
- 368b2a95917e409f5421635450e91582e8b25f687e82d9a437b3b2b0dc2b1b35
- Size of remote file:
- 342 kB
- SHA256:
- 9bdf7822d465a2e37e8553bec19d34d3ade484f7da2c80bda6859c3725c5d66a
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