Text Generation
fastText
Venda
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-bantu_southern
Instructions to use wikilangs/ve with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ve with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ve", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_words.png from wikilangs/ve: direct link, hf CLI and curl.
- Browser
- Download file 578 kB
-
https://huggingface.co/wikilangs/ve/resolve/main/visualizations/tsne_words.png
- Command line
-
hf download hf://wikilangs/ve/visualizations/tsne_words.png
-
curl -L -o tsne_words.png https://huggingface.co/wikilangs/ve/resolve/main/visualizations/tsne_words.png
578 kB

- Xet hash:
- 421b7461a3b9afec7c24daed0c1eef5568de358cfc0a22f218fc6f9fe46cb144
- Size of remote file:
- 578 kB
- SHA256:
- e6caa14bdb00e9acc978247d11f3e915c7fb665b6609d5bb4e4a86de74e984aa
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