Instructions to use ImageIN/resnet-50_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ImageIN/resnet-50_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ImageIN/resnet-50_finetuned") 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("ImageIN/resnet-50_finetuned") model = AutoModelForImageClassification.from_pretrained("ImageIN/resnet-50_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (b786e3c91fda6cd6d5589b74398b9f4815d8acc0) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>b92a232
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update model card README.md
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