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

- Xet hash:
- 8e1bc51608a564063d2a218e5866d184a1a6e98c1d0bb29b49337ba8c6fdbf67
- Size of remote file:
- 106 kB
- SHA256:
- 39f835da0bcc9b54ed8d3f48b6f145bfc6ed84a2eb998b464ef08193391bcdab
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.