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
Download visualizations/performance_dashboard.png from wikilangs/cr: direct link, hf CLI and curl.
- Browser
- Download file 350 kB
-
https://huggingface.co/wikilangs/cr/resolve/main/visualizations/performance_dashboard.png
- Command line
-
hf download hf://wikilangs/cr/visualizations/performance_dashboard.png
-
curl -L -o performance_dashboard.png https://huggingface.co/wikilangs/cr/resolve/main/visualizations/performance_dashboard.png
350 kB

- Xet hash:
- c1bef31e3a3faa775be1e250275ec6e424766cccefa024a98e3c464597382cea
- Size of remote file:
- 350 kB
- SHA256:
- e51327876802232c5f01b6c649c8ac636520f25b5773d0ba556d3ae70cada920
·
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