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")# 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
- Xet hash:
- 21e4d3de5795811d4bd392c835110044d7ff24e2b71cfb834b18af569752efb3
- Size of remote file:
- 44.8 MB
- SHA256:
- 103af21cc1b2f0b662dc1a00acbbd51e3aa9277b8d7d44ad2fcadb2180700640
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