Text Generation
fastText
Pashto
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-iranian_eastern
Instructions to use wikilangs/ps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ps with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ps", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f604d6243d1411c212f70ce2df681edece67c819b216c75e6b28758027773ed6
- Size of remote file:
- 391 kB
- SHA256:
- d59361bb1a155c1c9b7b103372a81dc3b6333c99500624268142a8448e5a79d9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.