Text Generation
fastText
Ossetian
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-iranian_eastern
Instructions to use wikilangs/os with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/os with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/os", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_words.png from wikilangs/os: direct link, hf CLI and curl.
- Browser
- Download file 655 kB
-
https://huggingface.co/wikilangs/os/resolve/main/visualizations/tsne_words.png
- Command line
-
hf download hf://wikilangs/os/visualizations/tsne_words.png
-
curl -L -o tsne_words.png https://huggingface.co/wikilangs/os/resolve/main/visualizations/tsne_words.png
655 kB

- Xet hash:
- 160d26e4e1ad08b6afd35c7fba2b4c93ac6f813bc46c8ccb8f8b0a4286f75be2
- Size of remote file:
- 655 kB
- SHA256:
- 089842980237cfa99e78a22ed75f3eb689adca9e26921e39a7c3b56caf472fe7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.