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

- Xet hash:
- 46ff8be93d65166d1f3a36690b22ac91e755c35f977857a2a0aa7dbf15f4461d
- Size of remote file:
- 655 kB
- SHA256:
- c80e2e884d2dde8ed88fff50a70464f04774750d31bbf874e0a6a882b634ff98
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.