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/tsne_sentences.png from wikilangs/dtp: direct link, hf CLI and curl.
- Browser
- Download file 287 kB
-
https://huggingface.co/wikilangs/dtp/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/dtp/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/dtp/resolve/main/visualizations/tsne_sentences.png
287 kB

- Xet hash:
- 22954c24640c555dc031620ce9e1d7a24bada00e4a682c67fb12557eaf0ebae2
- Size of remote file:
- 287 kB
- SHA256:
- 5b765e2f9cfa7e3e31692da2a955c2df81f525f8fb012c8e753eb81513b8176b
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