Text Generation
fastText
Persian
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_western
Instructions to use wikilangs/fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/fa with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/fa", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 5ab7069d848da323c12c100049efb77dcff291d475510ad89e1e338ab7e7af79
- Size of remote file:
- 147 kB
- SHA256:
- 4cf8a1a87e7436c96cf655cb8d32396867f840fa2eb07c91b55339c51a89b346
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.