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Update README.md

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@@ -8,29 +8,30 @@ pipeline_tag: image-text-to-text
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  language: en
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  extra_gated_heading: Access MedGemma on Hugging Face
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  extra_gated_prompt: >-
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- To access MedGemma on Hugging Face, you're required to review and
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- agree to [Health AI Developer Foundation's terms of use](https://developers.google.com/health-ai-developer-foundations/terms).
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- To do this, please ensure you're logged in to Hugging Face and click below.
 
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  Requests are processed immediately.
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  extra_gated_button_content: Acknowledge license
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  tags:
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- - medical
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- - x-ray
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- - pathology
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- - dermatology
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- - fundus
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- - radiology report generation
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- - chest-x-ray
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- - medical-embeddings
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- - image-classification
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- - zero-shot-image-classification
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- - image-feature-extraction
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- - image-text-to-text
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- - onnx
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- - onnxruntime-genai
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- - onnxruntime
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-
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- base_model: google/medgemma-27b-it
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  ---
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  # MedGemma model card
@@ -723,4 +724,4 @@ When adapting MedGemma developer should consider the following:
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  overestimating its true ability to generalize to novel medical concepts.
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  Developers should validate MedGemma on datasets not publicly available or
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  otherwise made available to non-institutional researchers to mitigate this
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- risk.
 
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  language: en
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  extra_gated_heading: Access MedGemma on Hugging Face
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  extra_gated_prompt: >-
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+ To access MedGemma on Hugging Face, you're required to review and agree to
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+ [Health AI Developer Foundation's terms of
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+ use](https://developers.google.com/health-ai-developer-foundations/terms). To
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+ do this, please ensure you're logged in to Hugging Face and click below.
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  Requests are processed immediately.
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  extra_gated_button_content: Acknowledge license
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  tags:
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+ - medical
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+ - x-ray
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+ - pathology
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+ - dermatology
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+ - fundus
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+ - radiology report generation
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+ - chest-x-ray
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+ - medical-embeddings
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+ - image-classification
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+ - zero-shot-image-classification
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+ - image-feature-extraction
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+ - image-text-to-text
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+ - onnx
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+ - onnxruntime-genai
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+ - onnxruntime
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+ base_model:
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+ - Prince-1/medgemma-27b-it
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  ---
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  # MedGemma model card
 
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  overestimating its true ability to generalize to novel medical concepts.
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  Developers should validate MedGemma on datasets not publicly available or
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  otherwise made available to non-institutional researchers to mitigate this
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+ risk.