Instructions to use kerasformers/sam_vit_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/sam_vit_base with KerasFormers:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Keras
How to use kerasformers/sam_vit_base with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kerasformers/sam_vit_base") - Notebooks
- Google Colab
- Kaggle
| { | |
| "library_name": "kerasformers", | |
| "kerasformers_version": "1.1.3", | |
| "model_module": "kerasformers.models.sam", | |
| "model_class": "SAMPromptableSegment", | |
| "variant": "sam_vit_base", | |
| "weights": "model.weights.h5", | |
| "model_type": "sam", | |
| "vision_hidden_size": 768, | |
| "vision_num_hidden_layers": 12, | |
| "vision_num_attention_heads": 12, | |
| "vision_mlp_dim": 3072, | |
| "vision_global_attn_indexes": [ | |
| 2, | |
| 5, | |
| 8, | |
| 11 | |
| ], | |
| "num_multimask_outputs": 3, | |
| "multimask_output": true, | |
| "enable_boxes": false, | |
| "enable_masks": false, | |
| "image_size": 1024 | |
| } |