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:
- 8988c66c345233208b6ece2560f4a7afe707f3feba533ffb7301f1c9bdab9325
- Size of remote file:
- 287 kB
- SHA256:
- abc3916d3f39eef03222b64000f7f491cf59f617ce7d7d0689a5e76fb2ca3f7d
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