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:
- e1bc9cc95f866918e61c7980bf5d2d7f77e18c2ea2a6d76afed34635479d6309
- Size of remote file:
- 509 kB
- SHA256:
- f0d515418799729b071c82dc7987a1ff4257de32483542b1f9d21b66d8a418cb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.