Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

lerobot
/
vqbet_pusht

Robotics
Transformers
Safetensors
vqbet-policy
model_hub_mixin
pytorch_model_hub_mixin
Model card Files Files and versions
xet
Community
4

Instructions to use lerobot/vqbet_pusht with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use lerobot/vqbet_pusht with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("lerobot/vqbet_pusht", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
vqbet_pusht
158 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 8 commits
aliberts's picture
aliberts
imstevenpmwork's picture
imstevenpmwork HF Staff
refactor/pretrainedconfig_device_amps_args (#3)
15c2d0a verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    2.57 kB
    Fix steps over 1 year ago
  • config.json
    1.74 kB
    refactor/pretrainedconfig_device_amps_args (#3) about 1 year ago
  • eval_info.json
    76.8 kB
    remove_hydra (#1) over 1 year ago
  • model.safetensors
    158 MB
    xet
    remove_hydra (#1) over 1 year ago
  • replay.mp4
    67 kB
    Upload folder using huggingface_hub almost 2 years ago
  • train_config.json
    5.94 kB
    refactor/pretrainedconfig_device_amps_args (#3) about 1 year ago