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| import os | |
| os.environ['REPLICATE_API_TOKEN'] = "r8_afc5kESy4ucPojF3Tw1GE25ER4Ovudy1iPVw6" | |
| import replicate | |
| # Prompts | |
| pre_prompt = "You are a helpful assistant. You do not respond as 'User' or pretend to be 'User'. You only respond once as 'Assistant'." | |
| prompt_input = "What is Hugging Face" | |
| # Generate LLM response | |
| output = replicate.run('huggingface/llama-base-125M', # LLM model | |
| input={ | |
| "prompt": f"{pre_prompt} {prompt_input} Assistant: ", # Prompts | |
| "temperature": 0.1, | |
| "top_p": 0.9, | |
| "max_length": 124, | |
| "repetition_penalty": 1 | |
| }) # Model parameters | |
| full_response = '' | |
| for item in output: | |
| full_response += item | |
| print(full_response) |