How to use natihash/vit_base_patch16_clip_224.text_lora4 with timm:
import timm model = timm.create_model("hf_hub:natihash/vit_base_patch16_clip_224.text_lora4", pretrained=True)
How to use natihash/vit_base_patch16_clip_224.text_lora4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="natihash/vit_base_patch16_clip_224.text_lora4") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("natihash/vit_base_patch16_clip_224.text_lora4", device_map="auto")
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--- tags: - image-classification - timm - transformers pipeline_tag: image-classification library_name: timm license: apache-2.0 --- # Model card for vit_base_patch16_clip_224.text_lora4
