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
- Xet hash:
- c1d3d3f4c8d4fd4ad7fbe0ac6380ef7cade448d17e589709e06bf7e9c6198574
- Size of remote file:
- 1.54 MB
- SHA256:
- 3d04183abd53f337f9b3a75c4cfda9f35d2444ff01e231f07d32e1317a6c1a3f
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