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

- Xet hash:
- 476e50ea71713402d369e14a5e30b96d8aea046d45f2bec756828e6a047e3a8b
- Size of remote file:
- 649 kB
- SHA256:
- 322ecb9cf2da81b08d5c105bbc2dd11b6be6aead40d9c33daebb9c7a2680fc7f
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