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
- Xet hash:
- a0c508c037641ad5a4dd2672df057e52a854811af31db3957a874c02054a7539
- Size of remote file:
- 10.2 MB
- SHA256:
- d9ef5869ac23a494059f7731876005b36b1b2a386242d0666d7bc70ca11206a6
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