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

- Xet hash:
- ea5767a50e675fb810652dfbe398cadac40167ed0526e0b6cdfb79d8e6feab57
- Size of remote file:
- 156 kB
- SHA256:
- 3ff8e0b62a0262694fab19cf6ab3ecafd7a9f22728e561fd0f42cab55eafd73d
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