Robotics
Transformers
Safetensors
English
3d-detection
vision-language-action
pose-estimation
grounding
Instructions to use hetolin/PoseVLA-stage1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hetolin/PoseVLA-stage1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hetolin/PoseVLA-stage1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from hetolin/PoseVLA-stage1: direct link, hf CLI and curl.
- Browser
- Download file 35.8 MB
-
https://huggingface.co/hetolin/PoseVLA-stage1/resolve/main/tokenizer.json
- Command line
-
hf download hf://hetolin/PoseVLA-stage1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hetolin/PoseVLA-stage1/resolve/main/tokenizer.json
35.8 MB
- Xet hash:
- adc913103c2324ecc064b48d74f614e285babd4c4e717f1b2343c54346c9e1aa
- Size of remote file:
- 35.8 MB
- SHA256:
- 096a73268dbf1a04677304baf37ee8f3c04fcaac74870fc7161147b40802f8b1
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