Instructions to use nvidia/mit-b1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/mit-b1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nvidia/mit-b1") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("nvidia/mit-b1") model = AutoModelForImageClassification.from_pretrained("nvidia/mit-b1") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de96d6049b13d4a6d02b8348c357dc29efeb72bfb941e2116cec45baeb2668c6
- Size of remote file:
- 54.9 MB
- SHA256:
- 163057aa0e923a68dda4795e764e74790efa0c863f281f35fb75530a5d70aca7
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