Instructions to use hf-tiny-model-private/tiny-random-DPTForSemanticSegmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-DPTForSemanticSegmentation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, DPTForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-DPTForSemanticSegmentation") model = DPTForSemanticSegmentation.from_pretrained("hf-tiny-model-private/tiny-random-DPTForSemanticSegmentation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-tiny-model-private/tiny-random-DPTForSemanticSegmentation: direct link, hf CLI and curl.
- Browser
- Download file 79.7 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-DPTForSemanticSegmentation/resolve/4c67b38d507e4f5c8d0568eccf5d5a074bb667b1/pytorch_model.bin
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-DPTForSemanticSegmentation@4c67b38d507e4f5c8d0568eccf5d5a074bb667b1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-tiny-model-private/tiny-random-DPTForSemanticSegmentation/resolve/4c67b38d507e4f5c8d0568eccf5d5a074bb667b1/pytorch_model.bin
79.7 MB
- Xet hash:
- 89c7b7c18dfc6273cf9405b576eba085100e65a85b6d05896f6a761e65f40898
- Size of remote file:
- 79.7 MB
- SHA256:
- 52f515b8bb4268d7baa7111f744be6ba687235120717fbfdcc631d2ed5e30c3c
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