Instructions to use animetimm/convformer_s36.dbv4-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use animetimm/convformer_s36.dbv4-full with timm:
import timm model = timm.create_model("hf_hub:animetimm/convformer_s36.dbv4-full", pretrained=True) - Transformers
How to use animetimm/convformer_s36.dbv4-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="animetimm/convformer_s36.dbv4-full") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("animetimm/convformer_s36.dbv4-full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Gated model You can list files but not access them
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