Text Generation
fastText
Achinese
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/ace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ace with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ace", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df61ac451ea8f3c786bad5553f1a378af8493bf59d435b93dcff926a55cb9f36
- Size of remote file:
- 258 MB
- SHA256:
- ecfbc856f76ea1e8212443985dcbe9685906da9609756f7089491a5aacd1156a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.