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zeromodels / inception_v4_tf_in1k
Model's Last Updated: August 30 2026
image-classification
Introduction of inception_v4_tf_in1k
Model Details of inception_v4_tf_in1k
See our collection for all versions of Inception-V4.
Run Inception-V4 with Keras 3: JAX, PyTorch, or TensorFlow
kerasformers/inception_v4_tf_in1k
Paper: Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning (arXiv:1602.07261) · HF Papers
Inception-V4 is a uniform Inception architecture without residual connections. Classifier or backbone.
For more details on the model, please go to the upstream model card .
Pure-
Keras 3
conversion of
timm/inception_v4.tf_in1k
for
kerasformers
. One implementation runs unmodified on
TensorFlow / Torch / JAX
.
This is an
image-classification / backbone
checkpoint (
InceptionV4ImageClassify
/
InceptionV4Model
).
✨ Quick start
import os
os.environ["KERAS_BACKEND"] = "torch" # or "jax" / "tensorflow"
from PIL import Image
import numpy as np
from kerasformers.models.inceptionv4 import InceptionV4ImageClassify, InceptionV4Model
model = InceptionV4ImageClassify.from_weights("kerasformers/inception_v4_tf_in1k")
backbone = InceptionV4Model.from_weights(
"kerasformers/inception_v4_tf_in1k", as_backbone=True
)
image = Image.open("your_image.jpg").convert("RGB")
image = image.resize((299, 299))
x = np.asarray(image, dtype="float32")[None] # (1, H, W, 3)
print(model(x).shape) # (1, num_classes)
feats = backbone(x)
print(len(feats), [tuple(f.shape) for f in feats])
Load any Inception-V4 variant the same way with
from_weights("kerasformers/<variant>")
:
| Variant | Hub |
|---|---|
inception_v4_tf_in1k
|
kerasformers/inception_v4_tf_in1k
|
Tips
-
Set
KERAS_BACKENDbefore importing Keras / kerasformers. -
InceptionV4ImageClassifyreturns class logits;InceptionV4Modelreturns features (as_backbone=Truefor multi-scale stages). - See docs and Loading Weights .
-
Upstream / timm checkpoints:
InceptionV4ImageClassify.from_weights("hf:timm/inception_v4.tf_in1k").
Special Thanks
A huge thank you to the Inception-V4 authors and the timm / Hub communities for creating and releasing these models.
License: see YAML
license
(usually matches the upstream checkpoint).
Runs of zeromodels inception_v4_tf_in1k on huggingface.co
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More Information About inception_v4_tf_in1k huggingface.co Model
Url of inception_v4_tf_in1k
inception_v4_tf_in1k huggingface.co Url
Provider of inception_v4_tf_in1k huggingface.co
Other API from zeromodels
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