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:
- 94709948d1adc4ee0af41ea30eda62faec0d72da86cf6f4b9d804081281995b0
- Size of remote file:
- 121 kB
- SHA256:
- 9a5c1ca5aa5de983443b8a1da30c6c8f3613bb2d5d70ff17675cd62d1563ebed
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