Instructions to use MBARI-org/mbari-uav-vit-b-16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MBARI-org/mbari-uav-vit-b-16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="MBARI-org/mbari-uav-vit-b-16") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("MBARI-org/mbari-uav-vit-b-16") model = AutoModelForImageClassification.from_pretrained("MBARI-org/mbari-uav-vit-b-16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from MBARI-org/mbari-uav-vit-b-16: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/MBARI-org/mbari-uav-vit-b-16/resolve/main/training_args.bin
- Command line
-
hf download hf://MBARI-org/mbari-uav-vit-b-16/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MBARI-org/mbari-uav-vit-b-16/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- c5899ff38028397679e6dc52ba8a417eb8cb492af08a949915114451602bad74
- Size of remote file:
- 5.24 kB
- SHA256:
- 3d3456005124c0de74e415ad33d431c52e27406ad11f70704107b3cf495d49cd
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