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:
- 63630b2ac925d41dc910c1c15aa6b0a04056682be8a24a2a0f65b2818d18f1d1
- Size of remote file:
- 117 kB
- SHA256:
- 460c0c627f0ec8d182041678f173cfc80710dc90ce26dec24cb45b2d3c33998a
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