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

- Xet hash:
- 384757c2540eb255feb7f62d9c14abf124133ed2119f95a7fdc7a50754222cc0
- Size of remote file:
- 246 kB
- SHA256:
- 541ec4c53f5d700d7850462105fccb5691c7f0f2944f1533701755f52114e74b
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