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:
- 158269b69cd442f1546641c368219737e1b281f74a9f50d72d0bb6e3d050ef62
- Size of remote file:
- 392 kB
- SHA256:
- 209bf3e3ff74f77c071f78ae676fb91d6dd2080249c2c18bd8d405e4201cc0d2
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