Robotics
Transformers
lap
vision-language-action
embodied-ai
manipulation
vla
robot-learning
multimodal
Instructions to use lihzha/LAP-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lihzha/LAP-3B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lihzha/LAP-3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download params/commit_success.txt from lihzha/LAP-3B: direct link, hf CLI and curl.
- Browser
- Download file 113 Bytes
-
https://huggingface.co/lihzha/LAP-3B/resolve/main/params/commit_success.txt
- Command line
-
hf download hf://lihzha/LAP-3B/params/commit_success.txt
-
curl -L -o commit_success.txt https://huggingface.co/lihzha/LAP-3B/resolve/main/params/commit_success.txt
113 Bytes
| Checkpoint commit was successful to gs://v6_east1d/checkpoints/pi_combined_cot_v6/ours_2048_baseprob/15000/params |