Instructions to use wangzeze/V2-SAM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wangzeze/V2-SAM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="wangzeze/V2-SAM")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wangzeze/V2-SAM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| tags: | |
| - multimodal | |
| - vision-language | |
| - segmentation | |
| - ego-centric | |
| language: | |
| - en | |
| library_name: transformers | |
| pipeline_tag: image-segmentation | |
| # V2-SAM | |