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:
- e647e0f6b65be6fe56f980cb823d43ebde3f6f1c3edf3c8b0e67c2c6f37aa3d4
- Size of remote file:
- 225 kB
- SHA256:
- 24c24b1bcc1fe8cc5bb8db38d770966deecdbe41ce7d1dfc572aed02383e4e72
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