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

- Xet hash:
- 07f190c1a381b0e7aaaf75edba11f63c273d8ccf0cfa978df5d800a74058c007
- Size of remote file:
- 362 kB
- SHA256:
- 27fe4bc2b69434a9f9b7f20f578f2d2eb3acf555fc88442a6aa9752a30d88dd3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.