Text Generation
fastText
Divehi
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-indoaryan_insular
Instructions to use wikilangs/dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/dv with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/dv", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/performance_dashboard.png from wikilangs/dv: direct link, hf CLI and curl.
- Browser
- Download file 384 kB
-
https://huggingface.co/wikilangs/dv/resolve/main/visualizations/performance_dashboard.png
- Command line
-
hf download hf://wikilangs/dv/visualizations/performance_dashboard.png
-
curl -L -o performance_dashboard.png https://huggingface.co/wikilangs/dv/resolve/main/visualizations/performance_dashboard.png
384 kB

- Xet hash:
- 7fbafa68c4ce787a5044b8dec309c793588936f0137f12127d30cfa6a6b83dc1
- Size of remote file:
- 384 kB
- SHA256:
- df0cf918e12e4bbabea18a48ec649c23a4c0eb2b0028d7382dd484df373291fa
·
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