Text Generation
fastText
Bihari
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-indoaryan_central
Instructions to use wikilangs/bh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/bh with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/bh", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/bh: direct link, hf CLI and curl.
- Browser
- Download file 248 kB
-
https://huggingface.co/wikilangs/bh/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/bh/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/bh/resolve/main/visualizations/tsne_sentences.png
248 kB

- Xet hash:
- d8973820f62921fb52d95f173425bfc1b77b74615cafdd275d77467b9f0ba678
- Size of remote file:
- 248 kB
- SHA256:
- 002ea3ec4224b0162e820d41fc34bd56526ff79d7d93f01ece782d9d7fab3a04
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