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:
- be9a30bcf15b91fe41899ec43a53b1295365379bf7c03d36fa505379a9724fa5
- Size of remote file:
- 122 kB
- SHA256:
- 3385c84a030d19a8486e2465c474f35e9a9c483a7a25c92ed34d4492587232d9
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