Text Generation
fastText
Malagasy
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_malagasy
Instructions to use wikilangs/mg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/mg with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/mg", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 6520910c6a4cb22f28e51044ae9a57ea1f52406a6de07fb9c461d553850644ce
- Size of remote file:
- 668 kB
- SHA256:
- 4c6499ca0bdabdac6a71842e412ee5bd77d3ac5dc8c04079004aa8cb3ae6261b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.