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:
- d2394587afa309f5eb4567f9ad2a696d0b60830bc3509dd8c8b1e355e1798ede
- Size of remote file:
- 229 kB
- SHA256:
- 96825ed05c8216a73bfaeadb27aba358f8dfc57cb5620d13e9d382206427f669
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.