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:
- 1ea2e4ae3d352cf8c5ebea80e8682faca232d2f22ec6f65fee2aa8379f3b1fa2
- Size of remote file:
- 107 kB
- SHA256:
- f3deb94a637f4a580a1de3149922c5259a7d30a72d63b70fe6f641c85a9e20fb
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