Instructions to use nielsr/slimsam-77-uniform with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nielsr/slimsam-77-uniform with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("mask-generation", model="nielsr/slimsam-77-uniform")# Load model directly from transformers import AutoProcessor, AutoModelForMaskGeneration processor = AutoProcessor.from_pretrained("nielsr/slimsam-77-uniform") model = AutoModelForMaskGeneration.from_pretrained("nielsr/slimsam-77-uniform") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "SamModel" | |
| ], | |
| "initializer_range": 0.02, | |
| "mask_decoder_config": { | |
| "model_type": "" | |
| }, | |
| "model_type": "sam", | |
| "prompt_encoder_config": { | |
| "model_type": "" | |
| }, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.37.0.dev0", | |
| "vision_config": { | |
| "hidden_size": 168, | |
| "mlp_dim": 696, | |
| "model_type": "" | |
| } | |
| } | |