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:
- e55a29a48945c31eaf67ed97f701baa10a9d5f8d7188601755d6bcb280c3061e
- Size of remote file:
- 138 kB
- SHA256:
- b774e21df8871a8b749883a1b33cc4f63048994c8fd0dcc0fce34bc4fb700082
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.