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:
- 6df2df8e0875bd4b10c9284c9380ec6936d897eb91adb3d4b8393a902b131d6d
- Size of remote file:
- 621 kB
- SHA256:
- 4a7322f2fe0b138ba9f1f267efab45a9963d710a81d5b862482c38202cec9be0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.