Text Generation
fastText
Kadazan Dusun
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-austronesian_other
Instructions to use wikilangs/dtp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/dtp with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/dtp", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/performance_dashboard.png from wikilangs/dtp: direct link, hf CLI and curl.
- Browser
- Download file 402 kB
-
https://huggingface.co/wikilangs/dtp/resolve/main/visualizations/performance_dashboard.png
- Command line
-
hf download hf://wikilangs/dtp/visualizations/performance_dashboard.png
-
curl -L -o performance_dashboard.png https://huggingface.co/wikilangs/dtp/resolve/main/visualizations/performance_dashboard.png
402 kB

- Xet hash:
- c6b051e5cb86d1238684a34bff6440549de5de3fea02fdac547b40ca5e5f93ce
- Size of remote file:
- 402 kB
- SHA256:
- c27a259aa5a605988ec9648ccee6930dacb583115b6210ac29de6dfbdd094cda
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