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chore(docs): prioritize use of entry points in docs + fix nightly badge (#1692)

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* chore(docs): fix typo in nightly badge

* chore(docs): prioritize the use of entrypoints for consistency
This commit is contained in:
Steven Palma
2025-08-07 14:25:44 +02:00
committed by GitHub
parent c66cd40176
commit ce3b9f627e
31 changed files with 105 additions and 107 deletions
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18
Makefile
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@@ -44,7 +44,7 @@ test-end-to-end:
${MAKE} DEVICE=$(DEVICE) test-smolvla-ete-eval
test-act-ete-train:
python -m lerobot.scripts.train \
lerobot-train \
--policy.type=act \
--policy.dim_model=64 \
--policy.n_action_steps=20 \
@@ -68,12 +68,12 @@ test-act-ete-train:
--output_dir=tests/outputs/act/
test-act-ete-train-resume:
python -m lerobot.scripts.train \
lerobot-train \
--config_path=tests/outputs/act/checkpoints/000002/pretrained_model/train_config.json \
--resume=true
test-act-ete-eval:
python -m lerobot.scripts.eval \
lerobot-eval \
--policy.path=tests/outputs/act/checkpoints/000004/pretrained_model \
--policy.device=$(DEVICE) \
--env.type=aloha \
@@ -82,7 +82,7 @@ test-act-ete-eval:
--eval.batch_size=1
test-diffusion-ete-train:
python -m lerobot.scripts.train \
lerobot-train \
--policy.type=diffusion \
--policy.down_dims='[64,128,256]' \
--policy.diffusion_step_embed_dim=32 \
@@ -106,7 +106,7 @@ test-diffusion-ete-train:
--output_dir=tests/outputs/diffusion/
test-diffusion-ete-eval:
python -m lerobot.scripts.eval \
lerobot-eval \
--policy.path=tests/outputs/diffusion/checkpoints/000002/pretrained_model \
--policy.device=$(DEVICE) \
--env.type=pusht \
@@ -115,7 +115,7 @@ test-diffusion-ete-eval:
--eval.batch_size=1
test-tdmpc-ete-train:
python -m lerobot.scripts.train \
lerobot-train \
--policy.type=tdmpc \
--policy.device=$(DEVICE) \
--policy.push_to_hub=false \
@@ -137,7 +137,7 @@ test-tdmpc-ete-train:
--output_dir=tests/outputs/tdmpc/
test-tdmpc-ete-eval:
python -m lerobot.scripts.eval \
lerobot-eval \
--policy.path=tests/outputs/tdmpc/checkpoints/000002/pretrained_model \
--policy.device=$(DEVICE) \
--env.type=xarm \
@@ -148,7 +148,7 @@ test-tdmpc-ete-eval:
test-smolvla-ete-train:
python -m lerobot.scripts.train \
lerobot-train \
--policy.type=smolvla \
--policy.n_action_steps=20 \
--policy.chunk_size=20 \
@@ -171,7 +171,7 @@ test-smolvla-ete-train:
--output_dir=tests/outputs/smolvla/
test-smolvla-ete-eval:
python -m lerobot.scripts.eval \
lerobot-eval \
--policy.path=tests/outputs/smolvla/checkpoints/000004/pretrained_model \
--policy.device=$(DEVICE) \
--env.type=aloha \