Text Generation
fastText
Panjabi
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/pa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/pa with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/pa", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 46e335e034490fb78f0e50855df08f31f4ea39cec21857f383b61d03fb413e23
- Size of remote file:
- 136 kB
- SHA256:
- 9dc06e964050d97dcab3e1b70b7c394a0d0296bf7c96998faf98d5f6f2534dad
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