Instructions to use sr5434/universal_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sr5434/universal_classifier with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sr5434/universal_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb3b6219e7cafa84380408276902af44b992da135c853bdf937f3df9c8684044
- Size of remote file:
- 33.4 MB
- SHA256:
- 50bd63e9d6f89918fa602e3920ee20ee352d0a193e114fafd24aa5f934c7abe0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.