Instructions to use hf-internal-testing/tiny-random-DeiTModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-DeiTModel 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-DeiTModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-DeiTModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-DeiTModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5b21568e5fa1090dafb17857c0229ebddf43b9f92ded8e01126d197d6ab9138
- Size of remote file:
- 199 kB
- SHA256:
- 3bed1116bd5a490ef476daccdc1ac5db234865b0c3950bdba2240d812ac79a86
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