Text Generation
fastText
Persian
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_western
Instructions to use wikilangs/fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/fa with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/fa", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/fa: direct link, hf CLI and curl.
- Browser
- Download file 289 kB
-
https://huggingface.co/wikilangs/fa/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/fa/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/fa/resolve/main/visualizations/tsne_sentences.png
289 kB

- Xet hash:
- 939389c07dc381db83e57e4554ca8c3269fd81b8b5033b1f52ff660b33585d96
- Size of remote file:
- 289 kB
- SHA256:
- fe38ecc180c12191641e6602e74352700760eb41d681f09efe03708963083e66
·
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