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

- Xet hash:
- 8aa234ac35f027dc98737a225fdcc2b3e8d0baedfb856a6b7a48ce342ff9ef54
- Size of remote file:
- 359 kB
- SHA256:
- df2f0911edbbdd8498d9f1d392ae126f3c15ee7d7ccd19e2d7015ef084f9827c
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