Text Generation
fastText
Northern Frisian
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_anglofrisian
Instructions to use wikilangs/frr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/frr with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/frr", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4663bc820b498c1a47ddf1cb45a789bc159e046d293cf7ff77cf05b5cb1f6d51
- Size of remote file:
- 764 kB
- SHA256:
- cffc8d1183587b76f95382163072cae4b85271d0cd4ed6134789f6635d070fa4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.