Instructions to use shrg7/openvla-7b-string with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shrg7/openvla-7b-string with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="shrg7/openvla-7b-string", trust_remote_code=True)# Load model directly from transformers import AutoModelForVision2Seq model = AutoModelForVision2Seq.from_pretrained("shrg7/openvla-7b-string", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload config
Browse files- config.json +1 -1
config.json
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"torch_dtype": "bfloat16",
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"transformers_version": "4.
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"use_fused_vision_backbone": true,
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"vision_backbone_id": "dinosiglip-vit-so-224px"
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}
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"torch_dtype": "bfloat16",
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"transformers_version": "4.43.3",
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"use_fused_vision_backbone": true,
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"vision_backbone_id": "dinosiglip-vit-so-224px"
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}
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