Text Generation
fastText
Official Aramaic (700-300 BCE)
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-semitic_aramaic
Instructions to use wikilangs/arc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/arc with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/arc", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/arc: direct link, hf CLI and curl.
- Browser
- Download file 268 kB
-
https://huggingface.co/wikilangs/arc/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/arc/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/arc/resolve/main/visualizations/tsne_sentences.png
268 kB

- Xet hash:
- 88626e56b1911292e86a791755bea46c0e024f8ac4a0013829e2dff62307bd63
- Size of remote file:
- 268 kB
- SHA256:
- 641cce76d724a179ee1dc91771139ab05632a003d63045a2bf75ee6ea87c25e7
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