Instructions to use IDEA-Research/grounding-dino-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-Research/grounding-dino-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-object-detection", model="IDEA-Research/grounding-dino-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection processor = AutoProcessor.from_pretrained("IDEA-Research/grounding-dino-tiny") model = AutoModelForZeroShotObjectDetection.from_pretrained("IDEA-Research/grounding-dino-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): deef33a
Upload GroundingDINOForObjectDetection
Browse files- config.json +0 -1
- pytorch_model.bin +2 -2
config.json
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"giou_loss_coefficient": 2,
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"is_encoder_decoder": true,
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"mask_loss_coefficient": 1,
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"max_position_embeddings": 1024,
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"max_text_len": 256,
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"model_type": "grounding-dino",
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"num_channels": 3,
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"giou_loss_coefficient": 2,
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"is_encoder_decoder": true,
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"mask_loss_coefficient": 1,
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"max_text_len": 256,
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"model_type": "grounding-dino",
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"num_channels": 3,
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pytorch_model.bin
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