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

- Xet hash:
- 308aaec8ca807cabe6cc5bd3c3e4090d05eca8e7b428fb3b4afd0d43e449abe6
- Size of remote file:
- 667 kB
- SHA256:
- 6e776b0daa0192925dd5f95f2e24ad83f3b87de70164e94ec5ba0e5da14ec69b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.