Instructions to use HaochenWang/GAR-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HaochenWang/GAR-8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="HaochenWang/GAR-8B", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HaochenWang/GAR-8B", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 274 Bytes
14e3151 | 1 2 3 4 5 6 7 8 9 10 | {
"patch_size": 14,
"pooling_ratio": 2,
"processor_class": "GARPerceptionLMProcessor",
"auto_map": {
"AutoImageProcessor": "image_processing_perception_lm_fast.PerceptionLMImageProcessorFast",
"AutoProcessor": "processing_gar.GARPerceptionLMProcessor"
}
}
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