Instructions to use OpenGVLab/ASM-Pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/ASM-Pretrain with Transformers:
# Load model directly from transformers import AutoProcessor, UnifiedHuskyFlattenCat processor = AutoProcessor.from_pretrained("OpenGVLab/ASM-Pretrain") model = UnifiedHuskyFlattenCat.from_pretrained("OpenGVLab/ASM-Pretrain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5423ed4ae131d3bdf8d4bcb3413698fc613168073c12a465dc960afb8dcb6acf
- Size of remote file:
- 15.8 GB
- SHA256:
- a7c0fea1ae289a8a7c4d2236fbead7418217bd46230cce3dc26dc9ecd417ff94
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