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:
- ce3b87ab1fa814893fa8b3f1aecdb4d7a40aa0a85a8206bb3d47fe077dc89aad
- Size of remote file:
- 554 kB
- SHA256:
- a79f3440c903b39d8b82904f5bdf191e3a3f69c45dc94cff5f577a68ffb722d3
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