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from transformers import AutoModelForCausalLM, AutoTokenizer
# Load the tokenizer and model
tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-v0.3")
model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.3")
# Prepare your input
input_text = "What is the most similar item to 'Pepper - Habanero Pepper'?"
inputs = tokenizer(input_text, return_tensors="pt")
# Generate output
outputs = model.generate(**inputs, max_new_tokens=50)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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