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:
- 8996722e5823461415a39bf1f1cf7508ca2e06319853e6d1c0dc3c9191c6b33d
- Size of remote file:
- 115 kB
- SHA256:
- 9c3b9c96ded1b01d56dd03d7b17a4741cfb69c309b040f4a6a48ceaf75f14ec2
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