Instructions to use nvidia/MambaVision-T-1K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/MambaVision-T-1K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nvidia/MambaVision-T-1K", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("nvidia/MambaVision-T-1K", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download mambavision_tiny_1k.pth.tar from nvidia/MambaVision-T-1K: direct link, hf CLI and curl.
- Browser
- Download file 382 MB
-
https://huggingface.co/nvidia/MambaVision-T-1K/resolve/main/mambavision_tiny_1k.pth.tar
- Command line
-
hf download hf://nvidia/MambaVision-T-1K/mambavision_tiny_1k.pth.tar
-
curl -L -o mambavision_tiny_1k.pth.tar https://huggingface.co/nvidia/MambaVision-T-1K/resolve/main/mambavision_tiny_1k.pth.tar
382 MB
- Xet hash:
- 00431c1925a104285d2ea303518696ef0f5c063133ee2c6a89eb240ef1ba3e6c
- Size of remote file:
- 382 MB
- SHA256:
- 952a3e486f94bbe863c753a7ecabe282b2e3b8adbb0d98057e047e4f554c2a9b
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