Bug: sudden 403 for certain models

[Zainking]

What happened?

What happened?
Attempting to get following models:

• https://tfhub.dev/tensorflow/tfjs-model/blazeface
• https://tfhub.dev/mediapipe/tfjs-model/facemesh
• https://tfhub.dev/mediapipe/tfjs-model/iris
  but getting 403 and CORS errors on GET.

Relevant code

curl --location 'https://tfhub.dev/tensorflow/tfjs-model/blazeface/1/default/1/model.json?tfjs-format=file' \
--header 'authority: tfhub.dev' \
--header 'accept: */*' \
--header 'accept-language: en-US,en;q=0.9' \
--header 'cache-control: no-cache' \
--header 'origin: http://localhost:4200' \
--header 'pragma: no-cache' \
--header 'referer: http://localhost:4200/' \
--header 'sec-ch-ua: "Not.A/Brand";v="8", "Chromium";v="114", "Brave";v="114"' \
--header 'sec-ch-ua-mobile: ?0' \
--header 'sec-ch-ua-platform: "macOS"' \
--header 'sec-fetch-dest: empty' \
--header 'sec-fetch-mode: cors' \
--header 'sec-gpc: 1' \
--header 'user-agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36'

Relevant log output

<?xml version='1.0' encoding='UTF-8'?><Error><Code>SignatureDoesNotMatch</Code><Message>Access denied.</Message><Details>The request signature we calculated does not match the signature you provided. Check your Google secret key and signing method.</Details><StringToSign>GOOG4-RSA-SHA256
20251009T150044Z
20251009/auto/storage/goog4_request
0b9de6546c08cc785b829a51e4366ddd9c3d2b872e0c2078475fc93d0574a2e1</StringToSign><CanonicalRequest>GET
/kagglesdsdata/models/2379/3196/model.json
X-Goog-Algorithm=GOOG4-RSA-SHA256&amp;X-Goog-Credential=gcp-kaggle-com%40kaggle-161607.iam.gserviceaccount.com%2F20251009%2Fauto%2Fstorage%2Fgoog4_request&amp;X-Goog-Date=20251009T150044Z&amp;X-Goog-Expires=259200&amp;X-Goog-SignedHeaders=host
host:storage.googleapis.com

tensorflow_hub Version

0.13.0.dev (unstable development build)

TensorFlow Version

2.8 (latest stable release)

Other libraries

No response

Python Version

3.x

OS

macOS

[rogelioamancisidor]

I am also suddenly getting HTTPError: HTTP Error 403: Forbidden when trying to get the pool_3 layer of the inception model to calculate FID scores. Here are the relevant parts of the code that is crashing now:

INCEPTION_TFHUB = 'https://tfhub.dev/tensorflow/tfgan/eval/inception/1'
INCEPTION_FINAL_POOL = 'pool_3'

# rescale pixels between [-1 1]
images = 2.*images - 1.

generated_images_list = tf.split(images, num_or_size_splits = num_splits)

activations = tf.nest.map_structure(tf.stop_gradient, tf.map_fn(
                        fn = tfgan.eval.classifier_fn_from_tfhub(INCEPTION_TFHUB, INCEPTION_FINAL_POOL, True),
                        elems = tf.stack(generated_images_list),
                        parallel_iterations = 10,
                        swap_memory = True,
                        name = 'RunClassifier'))

activations = tf.concat(tf.unstack(activations), 0)

[flrs]

+1

Here is the temporary fix that worked for me with tflite_model_maker: Download the model from TF/Kaggle, point the model_spec to the local path.

1. Download model (bash)

curl -L -o /model.tar.gz https://www.kaggle.com/api/v1/models/tensorflow/efficientdet/tensorFlow2/lite1-feature-vector/1/download
mkdir /model_dl
tar -xvf /model.tar.gz -C /model_dl

2. Overwrite model spec URI (Python)

spec = model_spec.get('efficientdet_lite1')
spec.uri = "/model_dl"