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README.md
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Code to create
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```python
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import torch
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from transformers import VitPoseConfig, VitPoseForPoseEstimation, VitPoseBackboneConfig, AutoProcessor
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model_id = "usyd-community/vitpose-plus-small"
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# Initializing a VitPose configuration
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configuration = VitPoseConfig.from_pretrained(
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model_id,
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backbone_config=VitPoseBackboneConfig(
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hidden_size=16,
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num_experts=2,
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num_attention_heads=2,
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part_features=10,
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),
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)
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# Initializing a model (with random weights) from the configuration
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model = VitPoseForPoseEstimation(configuration)
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torch.manual_seed(0) # Set for reproducibility
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for name, param in model.named_parameters():
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param.data = torch.randn_like(param)
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# Accessing the model configuration
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configuration = model.config
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processor = AutoProcessor.from_pretrained(model_id)
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```
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## Model Details
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