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:
- f8bf76042ff08ba256b1b7c46cc34d63e7d10c37f9a4a0a0bd1ce454bbc98b2f
- Size of remote file:
- 1.76 GB
- SHA256:
- 6adcd65ab79c6880e768161d0a8d9fd280fa20117b7fbaa33af8a0948541a87c
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