Instructions to use nvidia/MambaVision-T2-1K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/MambaVision-T2-1K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="nvidia/MambaVision-T2-1K", trust_remote_code=True)# Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("nvidia/MambaVision-T2-1K", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 709abf018da12ef5ef77a0344f7161149da96989a9eb26dbd0beb9a5e7ff7b88
- Size of remote file:
- 422 MB
- SHA256:
- 196f75ab0386d31a22e0dfbeeb41a6d6cad458c25a24dd50be77a4f7bfcb694c
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