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:
- c275011f4b0d0464444646b28641efc57870da35ed4c422942bd7ad12134e433
- Size of remote file:
- 1.16 GB
- SHA256:
- 866dd0eda0b3f6ea84ad98896011e2104232aff4d1da9746e9089b2790c998a2
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