Instructions to use buddhadeb33/outputs_dinov3_baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use buddhadeb33/outputs_dinov3_baseline with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("buddhadeb33/outputs_dinov3_baseline", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from buddhadeb33/outputs_dinov3_baseline: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/buddhadeb33/outputs_dinov3_baseline/resolve/main/training_args.bin
- Command line
-
hf download hf://buddhadeb33/outputs_dinov3_baseline/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/buddhadeb33/outputs_dinov3_baseline/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- 4e0152aafa4c1cacbc8316ff8b87f5a9afed70a8b676512ff4332e3fc8c937bf
- Size of remote file:
- 5.2 kB
- SHA256:
- 6dfcf064df449fa128e55e477a81c39f52cfbdcff7f2e31c5efc0cd3d4747584
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