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:
- dfc4db837acf8fb56ac703306946c343bef1d03a10de813b66c306d38ff0c810
- Size of remote file:
- 411 kB
- SHA256:
- 20270bb636c034ecfc25d110dd94006f754d960d971e1420d5e4f0aaf265e29d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.