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

- Xet hash:
- e3d99e898ec02d259224db197e05349bff2c08be06a8f134c17f0094db506082
- Size of remote file:
- 142 kB
- SHA256:
- bfc4be43f968073e592e1e841eebf4022a5fe77b19379a347a2875ad94e807b1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.