Text Generation
fastText
Hebrew
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-semitic_hebrew
Instructions to use wikilangs/he with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/he with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/he", "model.bin")) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 42e5d579a68201c516fb8d10e5cb048edc7e3e86a140cd4b7c0f62111ca7d028
- Size of remote file:
- 284 kB
- SHA256:
- 9a66a958c989d12309a6b99d48b048bc857d0bf46f39d18acb463bea2526821d
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