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:
- c4c304debe3df170cbd678c11c7b0d3b331b0a729ce48288aa58a15a517f59c2
- Size of remote file:
- 263 kB
- SHA256:
- f618b975acca55ca90c71c02774686f85a41035dd012dce40aae73838113457a
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