Update README.md

README.md

@@ -33,6 +33,23 @@ library_name: transformers
 # Multilingual E5 for Document Classification (DocLayNet)
 This model is a fine-tuned version of intfloat/multilingual-e5-large for document text classification based on the DocLayNet dataset.
 
+## Evaluation results
+
+- Test Loss:  0.5192, Test Acc: 0.9719
+
+## Usage:
+
+```python
+
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("text-classification", model="kaixkhazaki/multilingual-e5-doclaynet")
+
+prediction = pipe("This is some text from a financial report")
+print(prediction)
+```
+
 ## Model description
 - Base model: intfloat/multilingual-e5-large
 - Task: Document text classification
@@ -70,19 +87,4 @@ hyperparameters:
     'scheduler': 'cosine_with_warmup'
 }
 ```
-## Evaluation results
-Test Loss:  0.5192, Test Acc: 0.9719
-
-
-## Usage:
-
-```python
 
-# Use a pipeline as a high-level helper
-from transformers import pipeline
-
-pipe = pipeline("text-classification", model="kaixkhazaki/multilingual-e5-doclaynet")
-
-prediction = pipe("This is some text from a financial report")
-print(prediction)
-```