Text Generation
fastText
Southern Dagaare
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-atlantic_gur
Instructions to use wikilangs/dga with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/dga with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/dga", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_tsne_multilingual.png from wikilangs/dga: direct link, hf CLI and curl.
- Browser
- Download file 251 kB
-
https://huggingface.co/wikilangs/dga/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/dga/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/dga/resolve/main/visualizations/embedding_tsne_multilingual.png
251 kB

- Xet hash:
- d34107528efa7a84e0d3d339c0dd996b96c6b72d72087b912de56aacc1fcc9c7
- Size of remote file:
- 251 kB
- SHA256:
- daff5b4ca599b000b838c6b2c20a7123a3d4eca4aba62a07c8970e2395cb714a
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