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

- Xet hash:
- 178d68c2b4533734d2819389a7b7836f54291aa7e66ddbbc8b4432535a01d6ce
- Size of remote file:
- 362 kB
- SHA256:
- 522ecd5452d53822949765b9cf409bccbc86fddd0fd37884627ab49aafd62182
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.