Instructions to use hf-internal-testing/tiny-random-IdeficsModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-IdeficsModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-IdeficsModel")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-IdeficsModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-IdeficsModel") - Notebooks
- Google Colab
- Kaggle
File size: 178 Bytes
649df2e | 1 2 3 4 5 6 7 8 9 10 | {
"crop_size": 30,
"image_mean": null,
"image_num_channels": 3,
"image_processor_type": "IdeficsImageProcessor",
"image_size": 224,
"image_std": null,
"size": 30
}
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