Download esNet-Policy-Object-Sorting from adesandro/ResNet-Policy-Object-Sorting: direct link, hf CLI and curl.
- Browser
- Download file 576 Bytes
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https://huggingface.co/adesandro/ResNet-Policy-Object-Sorting/resolve/main/esNet-Policy-Object-Sorting
- Command line
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hf download hf://adesandro/ResNet-Policy-Object-Sorting/esNet-Policy-Object-Sorting
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curl -L -o esNet-Policy-Object-Sorting https://huggingface.co/adesandro/ResNet-Policy-Object-Sorting/resolve/main/esNet-Policy-Object-Sorting
576 Bytes
| # Model Name: [e.g., ResNet-Policy-Object-Sorting] | |
| ## Model Description | |
| This model is a [Type of Model, e.g., Diffusion Policy] trained to perform [Task]. It takes [Input, e.g., camera feed] and outputs [Output, e.g., joint velocities]. | |
| ## Training Details | |
| * **Base Dataset:** [Link to the dataset used to train this] | |
| * **Epochs:** [Number] | |
| * **Optimizer:** [e.g., AdamW] | |
| * **Hardware used for training:** [e.g., 1x NVIDIA RTX 4090] | |
| ## Evaluation Results | |
| - **Success Rate:** [e.g., 82% over 50 trials] | |
| - **Known Limitations:** [e.g., Struggles with low-lighting conditions] |