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from transformers import AutoTokenizer
from transformers import AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("StanfordAIMI/RadLLaMA-7b", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("StanfordAIMI/RadLLaMA-7b")
prompt = "Hi"
conv = [{"from": "human", "value": prompt}]
input_ids = tokenizer.apply_chat_template(conv, add_generation_prompt=True, return_tensors="pt")
outputs = model.generate(input_ids)
response = tokenizer.decode(outputs[0])
print(response)
✏️ Citation
@article{aimifms-2024,
title={},
author={},
journal={arXiv preprint arXiv:xxxx.xxxxx},
url={https://arxiv.org/abs/xxxx.xxxxx},
year={2024}
}