Create .library-huggingface-tag

.library-huggingface-tag

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+from transformers import GPTNeoForCausalLM, AutoTokenizer
+
+# Load model and tokenizer
+model = GPTNeoForCausalLM.from_pretrained("harshagnihotri14/SOP_Generator")
+tokenizer = AutoTokenizer.from_pretrained("harshagnihotri14/SOP_Generator")
+
+# Prepare input
+input_text = "Generate an SOP for handling customer complaints:"
+input_ids = tokenizer.encode(input_text, return_tensors="pt")
+
+# Generate text
+output = model.generate(input_ids, max_length=200, num_return_sequences=1, no_repeat_ngram_size=2)
+
+# Decode and print the result
+generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
+print(generated_text)