Text Generation
fastText
Wayuu
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_arawak
Instructions to use wikilangs/guc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/guc with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/guc", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/guc: direct link, hf CLI and curl.
- Browser
- Download file 256 kB
-
https://huggingface.co/wikilangs/guc/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/guc/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/guc/resolve/main/visualizations/tsne_sentences.png
256 kB

- Xet hash:
- 59924c4bf048ff4e26e2e64ead29e1a33eeb2ab3694503da6d93560b03b6df0a
- Size of remote file:
- 256 kB
- SHA256:
- b119dff658a7457c160e39e16bf789269e8e05c8aa4db4c141b302b159e929fd
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