Image Classification
Transformers
PyTorch
vision-language-model
resolution-selection
document-understanding
classification
efficient
edge-deployment
Instructions to use Kimhi/smolvlm-res-gate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kimhi/smolvlm-res-gate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Kimhi/smolvlm-res-gate") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Kimhi/smolvlm-res-gate", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K