Instructions to use massaki75/meditok with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use massaki75/meditok with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("massaki75/meditok", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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@@ -19,6 +19,7 @@ MedITok is the first unified visual tokenizer for medical images. Trained on 30M
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- achieves state-of-the-art performance across diverse medical imaging modalities and tasks.
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- can be incorporated into prevelant generative models (e.g., autoregressive architectures) for downstream medical image synthesis and interpretation.
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## ✏️ Citation
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- achieves state-of-the-art performance across diverse medical imaging modalities and tasks.
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- can be incorporated into prevelant generative models (e.g., autoregressive architectures) for downstream medical image synthesis and interpretation.
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This work is supported by Shanghai Innovation Institute (SII).
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## ✏️ Citation
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