Text Generation
fastText
Farefare
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-atlantic_gur
Instructions to use wikilangs/gur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/gur with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/gur", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 4b72e6bc3bbd97f812f75d039bb3c7d85cdde1388c6126b3064de544f13714f3
- Size of remote file:
- 148 kB
- SHA256:
- bcdf627418bbf38c385ad99cdfa85c593dc3be5d109a439acdc1c1f83a8d742f
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