How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-feature-extraction", model="timm/vit_base_patch32_clip_256.datacompxl")
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("timm/vit_base_patch32_clip_256.datacompxl", device_map="auto")
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Model card for vit_base_patch32_clip_256.datacompxl

timm CLIP (image encoder only) weights from https://huggingface.co/laion/CLIP-ViT-B-32-256x256-DataComp-s34B-b86K

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87.9M params
Tensor type
F32
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