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

- Xet hash:
- 3dfd5ff25e36dd2dddf91f86e5322181ec22b8c7f2350ae409cf5c419f69402e
- Size of remote file:
- 107 kB
- SHA256:
- 14e8bcd224743ef59b9d8ee99590be7d5cebe4d2274fc54a58571001c7d912eb
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