Text Generation
fastText
Norwegian
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_north
Instructions to use wikilangs/no with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/no with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/no", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 5adee32bba7c04aec8704d736e23dfd187686b85627f944f88830d90012318e3
- Size of remote file:
- 103 kB
- SHA256:
- 28689bc1867fed2b6d9691cc550ee1e855ce236ae290a51cc4425b9fc32a02d3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.