Robotics
Transformers
Safetensors
English
spatialvla
feature-extraction
VLA
Foundation Vision-language-action Model
Generalist Robot Policy
custom_code
Instructions to use IPEC-COMMUNITY/spatialvla-4b-224-sft-bridge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IPEC-COMMUNITY/spatialvla-4b-224-sft-bridge with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("IPEC-COMMUNITY/spatialvla-4b-224-sft-bridge", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from IPEC-COMMUNITY/spatialvla-4b-224-sft-bridge: direct link, hf CLI and curl.
- Browser
- Download file 36.2 MB
-
https://huggingface.co/IPEC-COMMUNITY/spatialvla-4b-224-sft-bridge/resolve/main/tokenizer.json
- Command line
-
hf download hf://IPEC-COMMUNITY/spatialvla-4b-224-sft-bridge/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/IPEC-COMMUNITY/spatialvla-4b-224-sft-bridge/resolve/main/tokenizer.json
36.2 MB
- Xet hash:
- 812f5e1ff0c10c919390bf586bcfac85bd968db443f38ccbc718ba4e7fcdadd3
- Size of remote file:
- 36.2 MB
- SHA256:
- 2523a63c898ebf0a32c7282a2e459ef2c950a846c5f3172305089e4149b6b6c3
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