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from transformers import AutoModelForCausalLM, AutoTokenizer | |
model_id = "mistralai/Mixtral-8x7B-Instruct-v0.1" | |
tokenizer = AutoTokenizer.from_pretrained(model_id) | |
model = AutoModelForCausalLM.from_pretrained(model_id) | |
text = "Hello my name is" | |
inputs = tokenizer(text, return_tensors="pt") | |
outputs = model.generate(**inputs, max_new_tokens=20) | |
print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |