Text Generation
fastText
Dzongkha
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/dz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/dz with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/dz", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- c62d1eafc4d69b107ef48513406f289e9cda93c3462b06f8897d47f7c9c4945e
- Size of remote file:
- 260 kB
- SHA256:
- cc0d1382ce8552c9fa0282050c58ca5c3e460b006f2d81a2c651d397b7176c65
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