Instructions to use shrg7/openvla-7b-grounded with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shrg7/openvla-7b-grounded with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="shrg7/openvla-7b-grounded", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("shrg7/openvla-7b-grounded", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from shrg7/openvla-7b-grounded: direct link, hf CLI and curl.
- Browser
- Download file 1.84 MB
-
https://huggingface.co/shrg7/openvla-7b-grounded/resolve/main/tokenizer.json
- Command line
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hf download hf://shrg7/openvla-7b-grounded/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/shrg7/openvla-7b-grounded/resolve/main/tokenizer.json
1.84 MB
File too large to display, you can check the raw version instead.