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

- Xet hash:
- 917473283abf40c2073dac527724916adc3058e99978fdd6c7d506663abb1489
- Size of remote file:
- 105 kB
- SHA256:
- 3875aefd1e466253b2ac35f8af90b654363d70e26059ecd4743f08d9efc20f6c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.