Instructions to use aehrc/cxrmate-rrg24 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aehrc/cxrmate-rrg24 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="aehrc/cxrmate-rrg24", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("aehrc/cxrmate-rrg24", trust_remote_code=True) model = AutoModel.from_pretrained("aehrc/cxrmate-rrg24", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Was VinDr-CXR used to train the model?
#4
by pamessina - opened
Hi. I would like to evaluate the model's ability to generalize to the VinDr-CXR dataset, but before doing that I'd like to confirm first that this dataset was not used during training, to avoid data leakage. I checked the paper (https://aclanthology.org/2024.bionlp-1.8.pdf) and the VinDr-CXR dataset is not mentioned, so I presume it was not used, but I want to make sure that this is in fact the case.
Similarly, I was wondering if the VinDr-CXR dataset was used to train any of the other models available at https://huggingface.co/aehrc
Thank you very much.
Best,
Pablo
Hi, it was not used for this model, or any of the other models.