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

- Xet hash:
- 0e27326e6021bff4440f5bbb7121a4d103cd7e4234ae56d897e9f635a751f7f2
- Size of remote file:
- 140 kB
- SHA256:
- e7819819e2331fffd2bbd24942373c4c2e754964fc6718be7496f3b0363ae94d
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