Instructions to use joaogante/test_img with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joaogante/test_img with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="joaogante/test_img")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("joaogante/test_img") model = AutoModel.from_pretrained("joaogante/test_img") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afcefd3a4ccbbfea04ece7761d38e8c93bde1b37d98286acb7cc518399e05a13
- Size of remote file:
- 346 MB
- SHA256:
- aa00da5f7abb687576e6f9138d48cbb0fe7489f2bc9768793d262c3987b3db32
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