StanfordAIMI / RadLLaMA-7b

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Total runs: 581
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7-day runs: -55
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Model's Last Updated: January 21 2024
text-generation

Introduction of RadLLaMA-7b

Model Details of RadLLaMA-7b

AIMI FMs: A Collection of Foundation Models in Radiology

📝 Paper • 🤗 Hugging Face • 🧩 Github • 🪄 Project

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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}
}

Runs of StanfordAIMI RadLLaMA-7b on huggingface.co

581
Total runs
0
24-hour runs
0
3-day runs
-55
7-day runs
2
30-day runs

More Information About RadLLaMA-7b huggingface.co Model

More RadLLaMA-7b license Visit here:

https://choosealicense.com/licenses/llama2

RadLLaMA-7b huggingface.co

RadLLaMA-7b huggingface.co is an AI model on huggingface.co that provides RadLLaMA-7b's model effect (), which can be used instantly with this StanfordAIMI RadLLaMA-7b model. huggingface.co supports a free trial of the RadLLaMA-7b model, and also provides paid use of the RadLLaMA-7b. Support call RadLLaMA-7b model through api, including Node.js, Python, http.

StanfordAIMI RadLLaMA-7b online free

RadLLaMA-7b huggingface.co is an online trial and call api platform, which integrates RadLLaMA-7b's modeling effects, including api services, and provides a free online trial of RadLLaMA-7b, you can try RadLLaMA-7b online for free by clicking the link below.

StanfordAIMI RadLLaMA-7b online free url in huggingface.co:

https://huggingface.co/StanfordAIMI/RadLLaMA-7b

RadLLaMA-7b install

RadLLaMA-7b is an open source model from GitHub that offers a free installation service, and any user can find RadLLaMA-7b on GitHub to install. At the same time, huggingface.co provides the effect of RadLLaMA-7b install, users can directly use RadLLaMA-7b installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

RadLLaMA-7b install url in huggingface.co:

https://huggingface.co/StanfordAIMI/RadLLaMA-7b

Url of RadLLaMA-7b

Provider of RadLLaMA-7b huggingface.co

StanfordAIMI
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