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Update ML Intern artifact metadata

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@@ -7,6 +7,7 @@ tags:
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  - image-classification
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  - resnet18
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  - calibration
 
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  pipeline_tag: image-classification
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  ---
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@@ -198,3 +199,23 @@ reproducibility only.
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  Dataset: TN5000 (Yu et al., *Scientific Data*, 2025).
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  Augmentation guidance: MediAug, arXiv:2504.18983.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - image-classification
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  - resnet18
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  - calibration
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+ - ml-intern
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  pipeline_tag: image-classification
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  ---
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  Dataset: TN5000 (Yu et al., *Scientific Data*, 2025).
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  Augmentation guidance: MediAug, arXiv:2504.18983.
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+
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+ <!-- ml-intern-provenance -->
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+ ## Generated by ML Intern
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+
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+ This model repository was generated by [ML Intern](https://github.com/huggingface/ml-intern), an agent for machine learning research and development on the Hugging Face Hub.
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+
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+ - Try ML Intern: https://smolagents-ml-intern.hf.space
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+ - Source code: https://github.com/huggingface/ml-intern
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+
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+ ## Usage
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+
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+ ```python
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+
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+ model_id = 'Johnyquest7/agentic_thyroid_model'
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+ tokenizer = AutoTokenizer.from_pretrained(model_id)
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+ model = AutoModelForCausalLM.from_pretrained(model_id)
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+ ```
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+
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+ For non-causal architectures, replace `AutoModelForCausalLM` with the appropriate `AutoModel` class.