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/embedding_similarity.png from wikilangs/cv: direct link, hf CLI and curl.
- Browser
- Download file 142 kB
-
https://huggingface.co/wikilangs/cv/resolve/main/visualizations/embedding_similarity.png
- Command line
-
hf download hf://wikilangs/cv/visualizations/embedding_similarity.png
-
curl -L -o embedding_similarity.png https://huggingface.co/wikilangs/cv/resolve/main/visualizations/embedding_similarity.png
142 kB

- Xet hash:
- b2e1e1ca4650975579d0aad1b1698435a38c2c325c9de3d010f71bbb1cca1179
- Size of remote file:
- 142 kB
- SHA256:
- 8c477d144abaacdd272767c50e6ad9a93266b00c99ccf0d4957a3e30129ce6ec
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