curl -X POST
    -H 'Authorization: Key YOUR_API_KEY'
    -H "Content-Type: application/json"
    -d '
    {
      "inputs": [
        {
          "data": {
            "image": {
              "url": "https://samples.clarifai.com/metro-north.jpg"
            }
          }
        }
      ]
    }'
    https://api.clarifai.com/v2/models/e0be3b9d6a454f0493ac3a30784001ff/outputs
 

app.models.initModel({id: Clarifai.GENERAL_MODEL, version: "aa7f35c01e0642fda5cf400f543e7c40"})
      .then(generalModel => {
        return generalModel.predict("the-image-url");
      })
      .then(response => {
        var concepts = response['outputs'][0]['data']['concepts']
      })
 

from clarifai.rest import ClarifaiApp
from clarifai.rest import Image as ClImage
app = ClarifaiApp(api_key='your_api_key')
model = app.public_models.general_model
model.model_version = 'aa7f35c01e0642fda5cf400f543e7c40'
response = model.predict(Image(url="https://samples.clarifai.com/metro-north.jpg"))

ConceptModel model = client.getDefaultModels().generalModel();
    ModelVersion modelVersion = model.getVersionByID("the-version").executeSync().get();

    ClarifaiResponse<List<ClarifaiOutput<Prediction>>> response = client.predict(model.id())
        .withInputs(ClarifaiInput.forImage("some-URL"))
        .withVersion("aa7f35c01e0642fda5cf400f543e7c40")
        .executeSync();
 

ClarifaiImage *image = [[ClarifaiImage alloc] initWithURL:@"https://samples.clarifai.com/metro-north.jpg"];
  [_app getModelByName:@"general-v1.3" completion:^(ClarifaiModel *model, NSError *error) {
      [model predictOnImages:@[image]
                  completion:^(NSArray<ClarifaiSearchResult *> *outputs, NSError *error) {
                      NSLog(@"outputs: %@", outputs);
                  }];
  }];