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Push model using huggingface_hub.

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Files changed (3) hide show
  1. README.md +12 -0
  2. config.json +59 -0
  3. model.safetensors +3 -0
README.md ADDED
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+ ---
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+ library_name: lerobot
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+ tags:
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+ - model_hub_mixin
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+ - pytorch_model_hub_mixin
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+ - robotics
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+ - vqbet
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+ ---
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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]
config.json ADDED
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+ {
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+ "action_chunk_size": 5,
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+ "bet_softmax_temperature": 0.1,
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+ "crop_is_random": true,
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+ "crop_shape": [
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+ 84,
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+ 84
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+ ],
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+ "dropout": 0.1,
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+ "gpt_block_size": 500,
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+ "gpt_hidden_dim": 512,
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+ "gpt_input_dim": 512,
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+ "gpt_n_head": 8,
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+ "gpt_n_layer": 8,
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+ "gpt_output_dim": 512,
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+ "input_normalization_modes": {
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+ "observation.images.elp0": "mean_std",
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+ "observation.images.elp1": "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.elp0": [
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+ 3,
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+ 600,
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+ 800
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+ ],
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+ "observation.images.elp1": [
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+ 3,
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+ 600,
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+ 800
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+ ],
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+ "observation.state": [
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+ 6
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+ ]
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+ },
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+ "mlp_hidden_dim": 1024,
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+ "n_action_pred_token": 3,
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+ "n_obs_steps": 1,
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+ "n_vqvae_training_steps": 20000,
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+ "offset_loss_weight": 10000.0,
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+ "output_normalization_modes": {
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+ "action": "min_max"
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+ },
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+ "output_shapes": {
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+ "action": [
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+ 6
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+ ]
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+ },
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+ "pretrained_backbone_weights": "ResNet18_Weights.IMAGENET1K_V1",
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+ "primary_code_loss_weight": 5.0,
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+ "secondary_code_loss_weight": 0.5,
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+ "sequentially_select": false,
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+ "spatial_softmax_num_keypoints": 32,
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+ "use_group_norm": false,
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+ "vision_backbone": "resnet18",
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+ "vqvae_embedding_dim": 256,
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+ "vqvae_enc_hidden_dim": 128,
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+ "vqvae_n_embed": 16
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+ }
model.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:2783e3acb4565e0e9253885fc69f1683b403af143e57fc04e9378d92c9ceb54e
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+ size 159539962