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

- Xet hash:
- 819ee8e1b07f25b411a51d17147aa4360832fcf200976918ed9f5428c5b7affc
- Size of remote file:
- 112 kB
- SHA256:
- a3b72e66bff6de555cf9239a657a424d52bdad6f7d57252cdcb0b77ae1c1185f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.