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

- Xet hash:
- b83767a758636d8e212057176487d2fc03b7285fa883386c1719c31b5b190319
- Size of remote file:
- 153 kB
- SHA256:
- 243d0328c965fd9ca741c7f416f6894a39b923771f5f1517430669e1f2185297
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.