Text Generation
fastText
Betawi
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_malay
Instructions to use wikilangs/bew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/bew with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/bew", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download models/embeddings/monolingual/bew_128d.bin from wikilangs/bew: direct link, hf CLI and curl.
- Browser
- Download file 1.03 GB
-
https://huggingface.co/wikilangs/bew/resolve/main/models/embeddings/monolingual/bew_128d.bin
- Command line
-
hf download hf://wikilangs/bew/models/embeddings/monolingual/bew_128d.bin
-
curl -L -o bew_128d.bin https://huggingface.co/wikilangs/bew/resolve/main/models/embeddings/monolingual/bew_128d.bin
1.03 GB
- Xet hash:
- 70fc6b2dfbeefb1d9bd6d768f2c4c2fe02213bf1df956ac0d671c89d1161710a
- Size of remote file:
- 1.03 GB
- SHA256:
- 9881405c6bfd25fab285c52fa84cf61230a22dac3d029ea903cc4ee51de74cba
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