Text Generation
fastText
Serbian
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-slavic_south
Instructions to use wikilangs/sr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/sr with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/sr", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 1dab22e07320db36d78dec667a33434ab79eefac779a3d46f0fedd4f942aebb8
- Size of remote file:
- 114 kB
- SHA256:
- 0b8be096ae43f4ff924238d9823195e26410ca22cbdc2d8dacc2cbedff993589
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.