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RussRobin
/
SpatialBot-3B-LoRA

Visual Question Answering
Transformers
Safetensors
English
bunny-phi
text-generation
Embodied AI
MLLM
VLM
Spatial Understanding
Phi-2
Model card Files Files and versions
xet
Community

Instructions to use RussRobin/SpatialBot-3B-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RussRobin/SpatialBot-3B-LoRA with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("visual-question-answering", model="RussRobin/SpatialBot-3B-LoRA")
    # Load model directly
    from transformers import AutoModelForCausalLM
    model = AutoModelForCausalLM.from_pretrained("RussRobin/SpatialBot-3B-LoRA", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
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  • README.md
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  • adapter_config.json
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  • adapter_model.safetensors
    378 MB
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  • config.json
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  • log.txt
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  • non_lora_trainables.bin
    19 MB
    xet
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  • trainer_state.json
    1.16 MB
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