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

- Xet hash:
- fe0eeab8ff63be47bd8dff05d033f0941607dbab83b98262ee94ac89ec934981
- Size of remote file:
- 164 kB
- SHA256:
- 48f3944a70c9b73c274e500b7b41c9436cb068ad5e63b473f79521f399d6cfa5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.