Push model using huggingface_hub.
Browse files- README.md +12 -0
- config.json +61 -0
- model.safetensors +3 -0
README.md
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---
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library_name: lerobot
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tags:
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- act
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- model_hub_mixin
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- pytorch_model_hub_mixin
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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/huggingface/lerobot
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- Docs: [More Information Needed]
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config.json
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{
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"chunk_size": 50,
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"dim_feedforward": 3200,
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"dim_model": 512,
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"dropout": 0.1,
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"feedforward_activation": "relu",
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"input_normalization_modes": {
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"observation.images.overhead_cam": "mean_std",
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"observation.images.worms_eye_cam": "mean_std",
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"observation.images.wrist_cam_left": "mean_std",
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"observation.images.wrist_cam_right": "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.overhead_cam": [
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3,
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480,
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640
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],
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"observation.images.worms_eye_cam": [
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3,
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480,
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640
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],
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"observation.images.wrist_cam_left": [
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3,
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480,
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640
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],
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"observation.images.wrist_cam_right": [
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3,
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480,
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640
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],
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"observation.state": [
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14
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]
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},
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"kl_weight": 10.0,
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"latent_dim": 32,
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"n_action_steps": 50,
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"n_decoder_layers": 1,
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"n_encoder_layers": 4,
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"n_heads": 8,
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"n_obs_steps": 1,
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"n_vae_encoder_layers": 4,
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"output_normalization_modes": {
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"action": "mean_std"
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},
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"output_shapes": {
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"action": [
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14
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]
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},
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"pre_norm": false,
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"pretrained_backbone_weights": "ResNet18_Weights.IMAGENET1K_V1",
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"replace_final_stride_with_dilation": false,
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"temporal_ensemble_coeff": null,
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"use_vae": true,
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"vision_backbone": "resnet18"
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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 sha256:9f8df9820232aab4556b1cd683214a705693cd88b5421800c91b5c894952ac3c
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size 206562648
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