Instructions to use moganai/fasttext-tr-quality-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastText
How to use moganai/fasttext-tr-quality-classifier with fastText:
from huggingface_hub import hf_hub_download import fasttext model = fasttext.load_model(hf_hub_download("moganai/fasttext-tr-quality-classifier", "model.bin")) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 913f0644af001d8068a044f18c334049226306e408e69cec35a328762f084b7f
- Size of remote file:
- 2.29 GB
- SHA256:
- 2f08bc5f1f09d5984895407cc4e61c95692dcb1cc7106df588647e23a47040df
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.