如何访问存储预训练模型的https://storage.googleapis.com/modelzoo仓库？

Great question! I've worked with this specific Google Cloud Storage (GCS) bucket before, so here are the reliable ways to access and retrieve models from it:

1. Directly Download Individual Files via HTTP #

If you already know the exact filename of the model you want (like InceptionV1.pb or InceptionV1-labels.txt), you have two straightforward options:

• Use a web browser: Paste the full URL (e.g., https://storage.googleapis.com/modelzoo/InceptionV1.pb) into your browser's address bar, and the download will start automatically.
• Use command-line tools: For batch or scripted downloads, use curl or wget to pull files directly to your local machine:

  # Save the model file locally with its original name using curl
  curl -O https://storage.googleapis.com/modelzoo/InceptionV1.pb
  
  # Download the labels file with wget
  wget https://storage.googleapis.com/modelzoo/InceptionV1-labels.txt
  

2. Explore Bucket Contents (If Permitted) #

Some public GCS buckets allow listing all stored files, which is perfect for discovering models you didn't know existed. To try this:

1. Install the Google Cloud SDK (it includes the gsutil tool, which lets you interact with GCS buckets).
2. Run this command in your terminal:

   gsutil ls gs://modelzoo
   

Note: If the bucket doesn't have public list permissions, this command will throw an access error. In that case, you'll need to rely on known filenames or official resources that index the models in this bucket.

3. Search for Curated Model Indexes #

Model repositories like this are often tied to official projects or documentation that list all available models and their download links. Try searching for model names you've found (like InceptionV1) alongside terms like "Google modelzoo" to see if there's a curated repo or documentation page that references this bucket.

Quick Reminder #

Always double-check the usage license for any model you download. Make sure you comply with the terms for commercial or non-commercial use to avoid any issues.

内容的提问来源于stack exchange，提问作者Donghui Sun