Instructions to use hf-internal-testing/tiny-random-groupvit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-groupvit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-groupvit")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-groupvit") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-groupvit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7da15afab6610013098071050a68dfecbf3235599d056f2ed991be1f654983b7
- Size of remote file:
- 10.2 MB
- SHA256:
- d252dbb3f95a7893f8fb787a497e87e10102fda1c86cc25400910f491f1c6192
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