Push model using huggingface_hub.
Browse files- README.md +12 -0
- config.json +77 -0
- model.safetensors +3 -0
README.md
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---
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library_name: rpl
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tags:
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- model_hub_mixin
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- pytorch_model_hub_mixin
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- rnd
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- robotics
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---
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This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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- Library: https://github.com/ian-chuang/rpl
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- Docs: [More Information Needed]
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config.json
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{
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"dim_output": 512,
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"fps": 1,
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"input_normalization_modes": {
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"observation.images.wrist": "mean_std",
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"observation.state": "mean_std"
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},
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"input_shapes": {
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"observation.images.wrist": [
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3,
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120,
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160
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],
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"observation.state": [
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22
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]
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},
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"n_obs_steps": 3,
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"predictor_activation": "ReLU",
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"predictor_cnn_kernel_size": [
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10,
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6,
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4
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],
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"predictor_cnn_out_channels": [
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16,
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32,
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64
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],
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"predictor_cnn_padding": [
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0,
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0,
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0
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],
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"predictor_cnn_spatial_softmax_num_keypoints": 32,
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"predictor_cnn_stride": [
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5,
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3,
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2
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],
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"predictor_cnn_use_batchnorm": false,
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"predictor_cnn_use_maxpool": false,
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"predictor_cnn_use_spatial_softmax": true,
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"predictor_mlp_hidden_sizes": [
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512,
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512
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],
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"target_activation": "ReLU",
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"target_cnn_kernel_size": [
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10,
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6,
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4
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],
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"target_cnn_out_channels": [
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16,
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32,
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64
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],
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"target_cnn_padding": [
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0,
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0,
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0
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],
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"target_cnn_spatial_softmax_num_keypoints": 32,
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"target_cnn_stride": [
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5,
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3,
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2
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],
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"target_cnn_use_batchnorm": false,
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"target_cnn_use_maxpool": false,
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"target_cnn_use_spatial_softmax": true,
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"target_mlp_hidden_sizes": [
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512,
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512
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]
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ce937a6798a597c5caa6f0157a0a0e36cb8937c9011885b11724afd14fdff451
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size 5732456
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