[Inference Client] fix zero_shot_image_classification's parameters (#2665)

* fix zero shot image classification

* send image as binary

Author: hanouticelina

src/huggingface_hub/inference/_client.py

@@ -2913,10 +2913,11 @@ def zero_shot_image_classification(
         # Raise ValueError if input is less than 2 labels
         if len(labels) < 2:
             raise ValueError("You must specify at least 2 classes to compare.")
-
-        inputs = {"image": _b64_encode(image), "candidateLabels": ",".join(labels)}
-        parameters = {"hypothesis_template": hypothesis_template}
-        payload = _prepare_payload(inputs, parameters=parameters)
+        parameters = {
+            "candidate_labels": labels,
+            "hypothesis_template": hypothesis_template,
+        }
+        payload = _prepare_payload(image, parameters=parameters, expect_binary=True)
         response = self.post(
             **payload,
             model=model,

src/huggingface_hub/inference/_generated/_async_client.py

@@ -2985,10 +2985,11 @@ async def zero_shot_image_classification(
         # Raise ValueError if input is less than 2 labels
         if len(labels) < 2:
             raise ValueError("You must specify at least 2 classes to compare.")
-
-        inputs = {"image": _b64_encode(image), "candidateLabels": ",".join(labels)}
-        parameters = {"hypothesis_template": hypothesis_template}
-        payload = _prepare_payload(inputs, parameters=parameters)
+        parameters = {
+            "candidate_labels": labels,
+            "hypothesis_template": hypothesis_template,
+        }
+        payload = _prepare_payload(image, parameters=parameters, expect_binary=True)
         response = await self.post(
             **payload,
             model=model,