Text Generation
fastText
Gilaki
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/glk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/glk with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/glk", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- dfd2589a224aeab387193afe9e62c76465a08cfaecf4c9c81f993b1c8e49b30e
- Size of remote file:
- 228 kB
- SHA256:
- e493308c6ca212c1d447c9d8dbfeecd7138916da0a1a60eb788ff2b2b9e348fd
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