Instructions to use RogerQi/MobileSAMV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RogerQi/MobileSAMV2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RogerQi/MobileSAMV2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d474dac7fd071b144ac967653c43417dee4f4c3701341663c8f6e04de59d3c3
- Size of remote file:
- 16.3 MB
- SHA256:
- 8771b38a57ad67750dbe18fff95e66c8d1789436096738cace37d58bfc06151e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.