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:
- 43ac54739b35cc9955b9ad4e6796bed57be491504a4d1f5ccee2d6e897738bdb
- Size of remote file:
- 102 kB
- SHA256:
- 182ff8752c5cee797c629c50f81481c5a11ffb87f62a1f5eac5fbc2acf540566
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