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")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Kimhi/smolvlm-res-gate", device_map="auto")
https://huggingface.co/Kimhi/smolvlm-res-gate/resolve/main/tokenizer.json
hf download hf://Kimhi/smolvlm-res-gate/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Kimhi/smolvlm-res-gate/resolve/main/tokenizer.json
