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

- Xet hash:
- a770c50f3c4eb12f15ca58bd40f3bf10034b88de3606c5e0b7bb71e74b218e91
- Size of remote file:
- 362 kB
- SHA256:
- 629884ef7b1ed2c5e65b8dc593749e453f2770a1f9a4798c63348b7805ff86c3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.