How to use bn22/my-timm-model with timm:
import timm model = timm.create_model("hf_hub:bn22/my-timm-model", pretrained=True)
How to use bn22/my-timm-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="bn22/my-timm-model") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bn22/my-timm-model", device_map="auto")
tags: - image-classification - timm - transformers pipeline_tag: image-classification library_name: timm license: apache-2.0
