medicap
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# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("aehrc/medicap", trust_remote_code=True)
model = AutoModel.from_pretrained("aehrc/medicap", trust_remote_code=True)Quick Links
MedICap: A Concise Model for Medical Image Captioning
MedICap is a medical image captioning encoder-to-decoder model that placed first in the ImageCLEFmedical Caption 2023 challenge: https://www.imageclef.org/2023/medical/caption (team CSIRO).
Paper:
GitHub Repository:
Notebook Example:
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="aehrc/medicap", trust_remote_code=True)