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

- Xet hash:
- 0a3ead4c99a7f31274836b70135ca654d6a81ae4b8ac6118cb0c901efe7da728
- Size of remote file:
- 105 kB
- SHA256:
- fcb03b31977db4b73fbd073e2411aed65bc31aa3f382ef85e8a2f4c6382ffa97
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.