Text Generation
fastText
Central Bikol
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_philippine_central
Instructions to use wikilangs/bcl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/bcl with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/bcl", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/zipf_law.png from wikilangs/bcl: direct link, hf CLI and curl.
- Browser
- Download file 108 kB
-
https://huggingface.co/wikilangs/bcl/resolve/main/visualizations/zipf_law.png
- Command line
-
hf download hf://wikilangs/bcl/visualizations/zipf_law.png
-
curl -L -o zipf_law.png https://huggingface.co/wikilangs/bcl/resolve/main/visualizations/zipf_law.png
108 kB

- Xet hash:
- 4bb5bdf140550e501f00a201c74d29ff01ad9591d61c1f90ed4c58be0957831f
- Size of remote file:
- 108 kB
- SHA256:
- e4866d2ec31d6f20a58b8784f295a392a292bf778f383eb45b53cce95fdaaea2
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