Text Generation
fastText
Kotava
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-constructed_other
Instructions to use wikilangs/avk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/avk with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/avk", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/avk: direct link, hf CLI and curl.
- Browser
- Download file 218 kB
-
https://huggingface.co/wikilangs/avk/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/avk/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/avk/resolve/main/visualizations/tsne_sentences.png
218 kB

- Xet hash:
- 5b17b64a70f79f5319f5db171e399a1ac9edc7e8ca12b728144a2a8c2e950eab
- Size of remote file:
- 218 kB
- SHA256:
- 477ce5754a2b53af3b7c558ee78648af3e3161e6f4ab57d8e7bf99cbf524265a
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