Text Generation
fastText
Arabic
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-arabic
Instructions to use wikilangs/ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ar with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ar", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 9c74efb641277f737fbe63328094679b8cfdf209ecd70efab3d93ef94e09af12
- Size of remote file:
- 118 kB
- SHA256:
- 8dcfaad96ee444bdd466e1f4a956ff0a23c6b68ba72be15eafadccb3fa2e59f2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.