Instructions to use hf-tiny-model-private/tiny-random-GroupViTModel 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-GroupViTModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-GroupViTModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-GroupViTModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-GroupViTModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 730063204ffce442287f821049d2c6966902f46116b5d7a008f668ab30a8dc2a
- Size of remote file:
- 4.23 MB
- SHA256:
- 72904c0016150a645875bce022d5c4a171dc955ed309f6d1aa3707df54eb257d
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