asd

test.py

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+from transformers import GPT2Tokenizer, GPT2Model
+
+# Load the tokenizer and model
+tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
+model = GPT2Model.from_pretrained('gpt2')
+
+# Create a prompt
+prompt = "I need a hug."
+
+# Tokenize the prompt
+inputs = tokenizer.encode(prompt, return_tensors='pt')
+
+# Generate text using the model
+outputs = model.generate(inputs, max_length=50, num_return_sequences=1)
+
+# Decode the generated text
+generated_text = tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# Print the generated text
+print(generated_text)