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
Add TF weights
#1
by joaogante - opened
Adds TF weights. Validated by the pt_to_tf CLI: crossload_diff=2.9802322387695312e-05, converted_diff=2.9802322387695312e-05