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

- Xet hash:
- 8877d9185e0a3f275657fe9125bad1965dd2398c6782d944083f4d803b1b2c32
- Size of remote file:
- 254 kB
- SHA256:
- 3416087e4b316657d41de9a258f3a7c16a10fef8517e9f202bc06937179d0e09
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.