Text Generation
fastText
Batak Toba
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/bbc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/bbc with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/bbc", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/performance_dashboard.png from wikilangs/bbc: direct link, hf CLI and curl.
- Browser
- Download file 358 kB
-
https://huggingface.co/wikilangs/bbc/resolve/main/visualizations/performance_dashboard.png
- Command line
-
hf download hf://wikilangs/bbc/visualizations/performance_dashboard.png
-
curl -L -o performance_dashboard.png https://huggingface.co/wikilangs/bbc/resolve/main/visualizations/performance_dashboard.png
358 kB

- Xet hash:
- 2301d33bf67d39f4c8d56fe7bbcff43ae412af71f4ca7d690d3ba4ed76c28222
- Size of remote file:
- 358 kB
- SHA256:
- 56d09d654b53365d842999cd6011a1c32e6e746e5335e3e7310ec6bc88fab2d7
·
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