Instructions to use nvidia/mit-b2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nvidia/mit-b2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="nvidia/mit-b2") 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-b2") model = AutoModelForImageClassification.from_pretrained("nvidia/mit-b2") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fb328b0713e001566675eef8752e5254781f69aec865ea19f441a72026e4f01
- Size of remote file:
- 99 MB
- SHA256:
- 4500b5665471b593e6757e15bcca5034f433fe3902fe8ec2b7230774a57f264f
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