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:
- e3ebd2cdfa1fda529d571bcb6c323949e0d9fa90ce408edf5d8f6701b14a8bda
- Size of remote file:
- 147 kB
- SHA256:
- 3215d8dfc638985631c4a4b7ee29c2c0894527699b94dc17f5160e70f2bc2c8f
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