Text Generation
fastText
Aymara
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-american_aymara
Instructions to use wikilangs/ay with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/ay with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/ay", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_words.png from wikilangs/ay: direct link, hf CLI and curl.
- Browser
- Download file 697 kB
-
https://huggingface.co/wikilangs/ay/resolve/main/visualizations/tsne_words.png
- Command line
-
hf download hf://wikilangs/ay/visualizations/tsne_words.png
-
curl -L -o tsne_words.png https://huggingface.co/wikilangs/ay/resolve/main/visualizations/tsne_words.png
697 kB

- Xet hash:
- 241f3c881bc96e50360914cdfac48f8179c3729442bc714ce2319606e532af06
- Size of remote file:
- 697 kB
- SHA256:
- 1855a193646ba678ea7f4d5ba32bac322c6536398dfedf3266d0e8df7beadb79
·
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