resnetv2 50x1 bit.goog in21k EU AI Act Compliance Profile

Model card for resnetv2_50x1_bit.goog_in21k

A ResNet-V2-BiT (Big Transfer w/ pre-activation ResNet) image classification model. Trained on ImageNet-21k by paper authors.

This model uses:

• Group Normalization (GN) in combination with Weight Standardization (WS) instead of Batch Normalization (BN)..

Model Details

• Model Type: Image classification / feature backbone
• Model Stats:
  • Params (M): 68.3
  • GMACs: 4.3
  • Activations (M): 11.1
  • Image size: 224 x 224
• Papers:
  • Big Transfer (BiT): General Visual Representation Learning: https://arxiv.org/abs/1912.11370
  • Identity Mappings in Deep Residual Networks: https://arxiv.org/abs/1603.05027
• Dataset: ImageNet-21k
• Original: https://github.com/google-research/big_transfer

Model Usage

Image Classification

from urllib.request import urlopen
from PIL import Image
import timm

img = Image.open(urlopen(
    'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.png'
))

model = timm.create_model('resnetv2_50x1_bit.goog_in21k', pretrained=True)
model = model.eval()

# get model specific transforms (normalization, resize)
data_config = timm.data.resolve_model_data_config(model)
transforms = timm.data.create_transform(**data_config, is_training=False)

output = model(transforms(img).unsqueeze(0))  # unsqueeze single image into batch of 1

top5_probabilities, top5_class_indices = torch.topk(output.softmax(dim=1) * 100, k=5)

Feature Map Extraction

from urllib.request import urlopen
from PIL import Image
import timm

img = Image.open(urlopen(
    'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.png'
))

model = timm.create_model(
    'resnetv2_50x1_bit.goog_in21k',
    pretrained=True,
    features_only=True,
)
model = model.eval()

# get model specific transforms (normalization, resize)
data_config = timm.data.resolve_model_data_config(model)
transforms = t

Your obligations as a resnetv2 50x1 bit.goog in21k deployer

Track your progress

Sign up to track obligations, receive deadline reminders, and generate audit packages.

Tags

Library