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
Download visualizations/performance_dashboard.png from wikilangs/ur: direct link, hf CLI and curl.
- Browser
- Download file 377 kB
-
https://huggingface.co/wikilangs/ur/resolve/main/visualizations/performance_dashboard.png
- Command line
-
hf download hf://wikilangs/ur/visualizations/performance_dashboard.png
-
curl -L -o performance_dashboard.png https://huggingface.co/wikilangs/ur/resolve/main/visualizations/performance_dashboard.png
377 kB

- Xet hash:
- 571c7b2f7eeea908c09a4591229691a29d936ff96c4b2d5b4277860f118b358c
- Size of remote file:
- 377 kB
- SHA256:
- 2622de19061f60719447da24cedfc4aab9755a1c0b5066c17115de69f873d46f
·
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