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")# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8609ae91aaeeb7abedcd4703b51f51897c486ded0b1d8d9e3b7dc0ba1b0feb05
- Size of remote file:
- 4.65 MB
- SHA256:
- a469906fa01901e2479ee63eeea31cf390e48079b73b401c9fd19764248b1cdd
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