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:
- b557f5156a80ebb01bc524de049b04c17e4464dd97ec511dedf4e9c57f7a7c9e
- Size of remote file:
- 404 kB
- SHA256:
- 4fb1757a4a01f9bb5a3f28551d5383a79d40a972d6c19ade64dfe4876825efaf
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