Instructions to use Diankun/Spatial-MLLM-v1.1-Instruct-135K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Diankun/Spatial-MLLM-v1.1-Instruct-135K with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Diankun/Spatial-MLLM-v1.1-Instruct-135K", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload preprocessor_config.json with huggingface_hub
Browse files- preprocessor_config.json +19 -0
preprocessor_config.json
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{
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"min_pixels": 3136,
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"max_pixels": 12845056,
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"patch_size": 14,
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"temporal_patch_size": 2,
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"merge_size": 2,
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"image_mean": [
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0.48145466,
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0.4578275,
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0.40821073
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],
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"image_std": [
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0.26862954,
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0.26130258,
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0.27577711
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],
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"image_processor_type": "Qwen2VLImageProcessor",
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"processor_class": "Qwen2_5_VLProcessor"
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}
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