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

- Xet hash:
- 9b1f16464d03338ae7ad5cfde3367119099a5b6b4c8bbb2daf6606832ae2fe89
- Size of remote file:
- 386 kB
- SHA256:
- 6660933d9786c06b7f65715987bd06c2113f03f8bf0a35aad229a758c1292f76
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