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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 378 Bytes
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"do_center_crop": true,
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"do_normalize": true,
"do_resize": true,
"feature_extractor_type": "CLIPFeatureExtractor",
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