How to use timm/samvit_base_patch16.sa1b with timm:
import timm model = timm.create_model("hf_hub:timm/samvit_base_patch16.sa1b", pretrained=True)
How to use timm/samvit_base_patch16.sa1b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="timm/samvit_base_patch16.sa1b")
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("timm/samvit_base_patch16.sa1b", device_map="auto")
