| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| repo_id = "MacLeanLuke/gemma-2b-tool-tuned" | |
| model = AutoModelForCausalLM.from_pretrained(repo_id) | |
| tokenizer = AutoTokenizer.from_pretrained(repo_id) | |
| inputs = tokenizer("Hello, how are you?", return_tensors="pt") | |
| outputs = model.generate(**inputs) | |
| print(tokenizer.decode(outputs[0])) |