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:
- 4193dfa1a4651297352699a6a265d085a195629db15d3a998921d0c14de010c8
- Size of remote file:
- 451 MB
- SHA256:
- f361eaacf970970b97ad70819b7779844d4803791ffe68d0963cd9e501f2532b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.