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:
- 0d92830c379cbbc27562b32d53691c4e7ecf738eaccb78a17220dde4cb6140a5
- Size of remote file:
- 105 kB
- SHA256:
- c3787c569265228f2c7477beebac4335db06f44ce748f8dc823ca4ca73dd397a
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