+
+
+
+
-result = model.predict(url_or_ndarray)
-class_name = model.classes[result]
+
+
+
+ Harness the power of text to add computer vision to your app in minutes
+Zeroshot is an open source tool for developers that creates image classifiers + from text descriptions
+ +
+ 
+
+
+
+
+
+
+
+ Open Source
+Zeroshot is a free, community-driven product for versatile applications.
+ +
+
+ Low Latency
+Fast and efficient real-time image classification. More accurate and faster than CLIP.
+ +
+
+ Offline Access
+No internet required, you can use Zeroshot and deploy from anywhere, anytime.
+ +
+
+
+
+
+
+
+
+
+ Build a classifier in seconds, with no labeling required.
+
+
+
+
+
+ Deploy to CPU or GPU easily with a few lines of code
+
+
+
+
+ import zeroshot
+
+ # Create the classifier and preprocessing function.
+ classifier = zeroshot.Classifier(
+ "your model string or path"
+ )
+ preprocess_fn = zeroshot.create_preprocess_fn()
+
+ # Run the model! The result is the index of the prediction.
+ prediction = classifier.predict(preprocess_fn(image))
+ print(f"The image is class {prediction}")
+
+
+
+
-print(f'Prediction: "{class_name}"')
-
-
+
+
+
+
+
+ Save costs with a fast, local model that doesn't cost money each time it's run.
+
+ 
+ 
+ 
+