Text Generation
fastText
Chuvash
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-turkic_other
Instructions to use wikilangs/cv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/cv with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/cv", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/performance_dashboard.png from wikilangs/cv: direct link, hf CLI and curl.
- Browser
- Download file 390 kB
-
https://huggingface.co/wikilangs/cv/resolve/main/visualizations/performance_dashboard.png
- Command line
-
hf download hf://wikilangs/cv/visualizations/performance_dashboard.png
-
curl -L -o performance_dashboard.png https://huggingface.co/wikilangs/cv/resolve/main/visualizations/performance_dashboard.png
390 kB

- Xet hash:
- 57a5d15111915b10fe5f347a81af99dc5539702399127fd89b135a82fb294aca
- Size of remote file:
- 390 kB
- SHA256:
- 393ea8b70b1973a41b014c8d1be57f48fb8036f8aac74ad1243be7087f693e35
·
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