Text Generation
fastText
Cree
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/cr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/cr with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/cr", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 2f308ee3050ed344bb874d0e9f7667770b5318154001f70413ff5e649699c5f6
- Size of remote file:
- 200 kB
- SHA256:
- 0d14969dcb0f433b2743fef0dee2e4b51b0dbf4d9d2a046e28d86bec0d513aec
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