Instructions to use CV3D/linear_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CV3D/linear_classifier with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CV3D/linear_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6a6345647bc661a84b89b33c6a36c9ea1addac95afc5191537e059f13e03d13
- Size of remote file:
- 5.63 kB
- SHA256:
- 66acd0b558719276348f5509dfa517d79505ee33b56e687b2995112ff99e75bd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.