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

- Xet hash:
- 56a249e660a1e9e0df8e4f739782688bd3b179e2cc5e120994f44db7915203e3
- Size of remote file:
- 284 kB
- SHA256:
- 22931518dd5db85ca42457185b1e03ff271c8c8e1ea31294dba95c6390945850
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