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:
- 0cdc8d0be211b01ebb52cdf5b34711f575e51e830351f18480c9791024749651
- Size of remote file:
- 1.64 GB
- SHA256:
- f4e5988938f7a623c6a3a583a52b62a5d10f301df7cac1992ffe8de99bfdfff3
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