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:
- a2a5bab1079785443e3abd7867fbba492967e3dc096161363b9ee84b4f64d77f
- Size of remote file:
- 390 kB
- SHA256:
- cec0b74a92ebdffd6a15a4d07cb450b5183ccf9feef284d6f3db8028b7127250
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