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harrywang01/lstm3d-pretrained-checkpoints
lstm3d-pretrained-checkpoints is a machine learning model from harrywang01. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Four pretrained 3D-LSTM (ObsActionChunkLSTMImage3D) checkpoints used as warmup-stage models for the diffusion-policy "warmup-then-finetune" pipeline in the memorydiffusionpolicy project. Each subfolder is a self-conta…
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Updated May 26, 2026
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From the Hugging Face model README
Four pretrained 3D-LSTM (ObsActionChunkLSTMImage3D) checkpoints used as
warmup-stage models for the diffusion-policy "warmup-then-finetune" pipeline
in the memory_diffusion_policy project. Each
subfolder is a self-contained training output with best_model.pt,
config.yaml, normalizer.pt, and TensorBoard logs/. The
visualization-dumps (eval_viz/) are intentionally excluded to keep the
bundle small.
| Task | Subfolder | Hidden | Horizon | Best ckpt size |
|---|---|---|---|---|
| Lego-stacking | lego_h64_sub1_h600 | 64 | 600 | ~130 MB |
| Lightbulb | lightbulb_h128_sub1_h600 | 128 | 600 | ~134 MB |
| Peg-insert | peg_insert_h128_sub1_h1000 | 128 | 1000 | ~134 MB |
| Fruit-swap | fruit_swap_h64_sub1_h700 | 64 | 700 | ~130 MB |
pip install huggingface_hub
huggingface-cli download harrywang01/lstm3d-pretrained-checkpoints \
--local-dir ./lstm3d_checkpoints
or in Python:
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="harrywang01/lstm3d-pretrained-checkpoints",
local_dir="./lstm3d_checkpoints",
)
huggingface-cli download harrywang01/lstm3d-pretrained-checkpoints \
--include "lego_h64_sub1_h600/*" \
--local-dir ./lstm3d_checkpoints
or in Python:
from huggingface_hub import snapshot_download
snapshot_download(
repo_id="harrywang01/lstm3d-pretrained-checkpoints",
allow_patterns=["lego_h64_sub1_h600/*"],
local_dir="./lstm3d_checkpoints",
)
Replace lego_h64_sub1_h600 with any other subfolder name from the table
above.