Text Generation
fastText
Santali
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-austroasiatic_other
Instructions to use wikilangs/sat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/sat with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/sat", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/sat: direct link, hf CLI and curl.
- Browser
- Download file 283 kB
-
https://huggingface.co/wikilangs/sat/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/sat/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/sat/resolve/main/visualizations/tsne_sentences.png
283 kB

- Xet hash:
- 2690296115adca92fcf8018113b3f45ed29a4299b0b111310f8f7e764d8961e9
- Size of remote file:
- 283 kB
- SHA256:
- 4085d77925b7172d2561aad28cd8a2966b0913bbad72ec5f2dbb0eb9b094df46
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