Instructions to use sivan22/ResNet-finetuned-HHD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sivan22/ResNet-finetuned-HHD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sivan22/ResNet-finetuned-HHD") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("sivan22/ResNet-finetuned-HHD") model = AutoModelForImageClassification.from_pretrained("sivan22/ResNet-finetuned-HHD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Rename Screenshot_20230510-141331.jpg to examples/1.jpg
2589b7e -
Rename Screenshot_20230510-141225.jpg to example.jpg
62e8f6c -
Upload 2 files
ed7fa04 -
Update README.md
ebea741 -
Upload preprocessor_config.json
bb27eaf
-
Create README.md
278a7f2 -
Upload ResNetForImageClassification
0d42632 -
initial commit
e65d7e0