Update README.md

README.md

@@ -19,28 +19,6 @@ should probably proofread and complete it, then remove this comment. -->
 
 
 
-usage:
-
-```py
-from transformers import pipeline
-from PIL import Image
-import requests
-
-pipe = pipeline(
-    "image-classification",
-    model="pszemraj/beit-large-patch16-512-film-shot-classifier",
-)
-
-url = "https://cdn-uploads.huggingface.co/production/uploads/60bccec062080d33f875cd0c/9YqYvv188ZccCMSzuv0KW.png"
-image = Image.open(requests.get(url, stream=True).raw)
-result = pipe(image)[0]
-print(result)
-```
-
-try some of these:
-
-
-
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/60bccec062080d33f875cd0c/9YqYvv188ZccCMSzuv0KW.png)
 
@@ -53,6 +31,7 @@ try some of these:
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/60bccec062080d33f875cd0c/uiricD6EMnyrkyh_7yHdv.png)
 
+
 ## Model description
 
 
@@ -61,8 +40,28 @@ It achieves the following results on the evaluation set:
 - Loss: 1.2335
 - Accuracy: 0.6763
 
+## usage
+
+
+```py
+from transformers import pipeline
+from PIL import Image
+import requests
+
+pipe = pipeline(
+    "image-classification",
+    model="pszemraj/beit-large-patch16-512-film-shot-classifier",
+)
+
+url = "https://cdn-uploads.huggingface.co/production/uploads/60bccec062080d33f875cd0c/9YqYvv188ZccCMSzuv0KW.png"
+image = Image.open(requests.get(url, stream=True).raw)
+result = pipe(image)[0]
+print(result)
+```
+
+try some of these:
 
-## class labels
+### class labels
 
 The dataset contains the following labels: