Instructions to use hf-internal-testing/tiny-random-GroupViTModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-GroupViTModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-GroupViTModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-GroupViTModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-GroupViTModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-GroupViTModel: direct link, hf CLI and curl.
- Browser
- Download file 4.31 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-GroupViTModel/resolve/ca7c27eead0f338af2dca67d4e0fc04f9a23b575/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-GroupViTModel@ca7c27eead0f338af2dca67d4e0fc04f9a23b575/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-GroupViTModel/resolve/ca7c27eead0f338af2dca67d4e0fc04f9a23b575/pytorch_model.bin
4.31 MB
- Xet hash:
- e9b1758d1a703a743e726e013b92592276c8ec36731fca6ae2cee3c6d3fcc242
- Size of remote file:
- 4.31 MB
- SHA256:
- 3197b4b469487d8b12979f464910b0947884045c6c9f4c8193ec9dbcdc506116
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