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:
- 5132f76aafac3d458c5b40394005e86a5e4c23ef37bd4109143a43953a47fd15
- Size of remote file:
- 1.03 GB
- SHA256:
- d7e3fef86fa21d06d0ce4b31e1fa7d94c30d5ae1821449e0030b3ff6872dc30b
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