Text Generation
fastText
Malay
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/ms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ms with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ms", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27aab3e8428992592da1e2e44e87a07a19a09272cbbe15063e66c9c66d7c1346
- Size of remote file:
- 372 kB
- SHA256:
- 058418f428b9a7e89a09a9a8d95511ab44bf02ed48d054a87bc30c0184d81c9c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.