Push model using huggingface_hub.
Browse files- README.md +12 -0
- config.json +54 -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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- diffusion-policy
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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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"beta_end": 0.02,
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"beta_schedule": "squaredcos_cap_v2",
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"beta_start": 0.0001,
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"clip_sample": true,
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"clip_sample_range": 1.0,
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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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"diffusion_step_embed_dim": 128,
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"do_mask_loss_for_padding": false,
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"down_dims": [
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256,
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512,
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1024
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],
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"horizon": 64,
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"input_normalization_modes": {
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"observation.environment_state": "min_max",
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"observation.state": "min_max"
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},
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"input_shapes": {
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"observation.environment_state": [
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18
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],
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"observation.state": [
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16
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]
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},
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"kernel_size": 5,
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"n_action_steps": 32,
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"n_groups": 8,
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"n_obs_steps": 8,
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"noise_scheduler_type": "DDIM",
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"num_inference_steps": 10,
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"num_train_timesteps": 100,
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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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10
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]
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},
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"prediction_type": "epsilon",
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"pretrained_backbone_weights": null,
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"spatial_softmax_num_keypoints": 32,
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"use_film_scale_modulation": true,
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"use_group_norm": true,
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"use_separate_rgb_encoder_per_camera": false,
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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:cf9478c1218adb18e13c62740c29545b911543d8422084ba00ede9e382af9a70
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size 267597928
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