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:
- bf745c334f34ce71bc473dff881b1823a0aecbaa934e657f2da0054c6a768459
- Size of remote file:
- 101 kB
- SHA256:
- 3140470c488313289c2cff26c6cf3ce5d355bff6a8db53351a6e0b45b6c4b421
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