Text Generation
fastText
Sranan Tongo
wikilangs
nlp
tokenizer
embeddings
n-gram
markov
wikipedia
feature-extraction
sentence-similarity
tokenization
n-grams
markov-chain
text-mining
babelvec
vocabulous
vocabulary
monolingual
family-germanic_west_anglofrisian
Instructions to use wikilangs/srn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use wikilangs/srn with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("wikilangs/srn", "model.bin")) - Notebooks
- Google Colab
- Kaggle
Download visualizations/tsne_sentences.png from wikilangs/srn: direct link, hf CLI and curl.
- Browser
- Download file 162 kB
-
https://huggingface.co/wikilangs/srn/resolve/main/visualizations/tsne_sentences.png
- Command line
-
hf download hf://wikilangs/srn/visualizations/tsne_sentences.png
-
curl -L -o tsne_sentences.png https://huggingface.co/wikilangs/srn/resolve/main/visualizations/tsne_sentences.png
162 kB

- Xet hash:
- 5294ddcb40deff0720b6843e83ab96664d884de3155d35d2a97224bc47c947d2
- Size of remote file:
- 162 kB
- SHA256:
- c2d1ff6257b098ebb2fdd916ea81ebbc843f1d0c1103f590a9c8599e545d643d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.