Text Generation
fastText
Yiddish
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-germanic_west_continental
Instructions to use wikilangs/yi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/yi with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/yi", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 071d4d848c0e4a25ca237c5dfdf39a1b85bfed970f1bc1d7584d866757ef0804
- Size of remote file:
- 941 kB
- SHA256:
- 355bdd3633f08f470625def55ca2a75b1689dee8366d20c3f52f362edc86a5ba
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