Image Classification
Transformers
PyTorch
TensorBoard
cvt
Generated from Trainer
Eval Results (legacy)
Instructions to use LamaAldakhil/SL-CvT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LamaAldakhil/SL-CvT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="LamaAldakhil/SL-CvT") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("LamaAldakhil/SL-CvT") model = AutoModelForImageClassification.from_pretrained("LamaAldakhil/SL-CvT") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot