Text Generation
fastText
Tibetan
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-tibetoburman_tibetic
Instructions to use wikilangs/bo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/bo with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/bo", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/embedding_tsne_multilingual.png from wikilangs/bo: direct link, hf CLI and curl.
- Browser
- Download file 297 kB
-
https://huggingface.co/wikilangs/bo/resolve/main/visualizations/embedding_tsne_multilingual.png
- Command line
-
hf download hf://wikilangs/bo/visualizations/embedding_tsne_multilingual.png
-
curl -L -o embedding_tsne_multilingual.png https://huggingface.co/wikilangs/bo/resolve/main/visualizations/embedding_tsne_multilingual.png
297 kB

- Xet hash:
- c3c2a1ff2dc05fcf583afdfbae44a4d859172d8221b8ddc5d1c205912924e9e4
- Size of remote file:
- 297 kB
- SHA256:
- 4f8a7aa8661c9a5a0830b8f81ce342972d1f621f6747e3bb2c2393fd047d807a
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