Text Generation
fastText
Farefare
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-atlantic_gur
Instructions to use wikilangs/gur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/gur with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/gur", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/gur: direct link, hf CLI and curl.
- Browser
- Download file 274 kB
-
https://huggingface.co/wikilangs/gur/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/gur/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/gur/resolve/main/visualizations/tsne_sentences.png
274 kB

- Xet hash:
- 66fe28dd5db15168bc01867701b488d20495cc7126ad33a1d0354d88041c05af
- Size of remote file:
- 274 kB
- SHA256:
- 3c24870bf7faa82e77e263883e8b9ec5dd60a1b5f22a8a42e492a88d47257dca
·
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