Instructions to use hf-internal-testing/tiny-random-PvtModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PvtModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-internal-testing/tiny-random-PvtModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-PvtModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-PvtModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9d8d72d0770b64023f0efb5f46cc825b8d54d98eb7fd3bd9ed7e8068a3c1c60
- Size of remote file:
- 2.82 MB
- SHA256:
- eada87ab146b2b8550e1399cf05a29c2af806a4d9ad3e7e00066f02eb885ec56
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