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:
- 486cb6c4c25efe918035269018be976c681ea6ed985e43c1e56f606facd2f048
- Size of remote file:
- 107 kB
- SHA256:
- 8651838fa8a400cc3a9d44ca929de7993ec5a39c5aca54a26c2125b325a7db45
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.