Text Generation
fastText
Gun
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_kwa
Instructions to use wikilangs/guw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/guw with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/guw", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_similarity.png from wikilangs/guw: direct link, hf CLI and curl.
- Browser
- Download file 151 kB
-
https://huggingface.co/wikilangs/guw/resolve/main/visualizations/embedding_similarity.png
- Command line
-
hf download hf://wikilangs/guw/visualizations/embedding_similarity.png
-
curl -L -o embedding_similarity.png https://huggingface.co/wikilangs/guw/resolve/main/visualizations/embedding_similarity.png
151 kB

- Xet hash:
- f4dd0de1c7ba2d6b11f9c27c99f0e8a8709f917c84269d49dd45102ef885b505
- Size of remote file:
- 151 kB
- SHA256:
- 09330b2b63894766a81c86a7cc4798c5d4be1011f125380059a39c392cc2e1ee
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