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
Download visualizations/embedding_tsne_multilingual.png from wikilangs/btm: direct link, hf CLI and curl.
- Browser
- Download file 258 kB
-
https://huggingface.co/wikilangs/btm/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/btm/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/btm/resolve/main/visualizations/embedding_tsne_multilingual.png
258 kB

- Xet hash:
- 8ee32984bc0258545472f0348f62175aab3b9152a92c88461c26f63912eb901f
- Size of remote file:
- 258 kB
- SHA256:
- e0479f96a6391cc9dc74a32dfbaef0386c089b4556bc7659913fff4952219e79
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