Transformers How to use mwalmsley/baseline-encoder-regression-tf_efficientnetv2_l with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="mwalmsley/baseline-encoder-regression-tf_efficientnetv2_l")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png") # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mwalmsley/baseline-encoder-regression-tf_efficientnetv2_l", device_map="auto") 
import timm model = timm.create_model("hf_hub:mwalmsley/baseline-encoder-regression-tf_efficientnetv2_l", pretrained=True)