Instructions to use fengguo21/custom-resnet50d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fengguo21/custom-resnet50d with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import ResnetModelForImageClassification model = ResnetModelForImageClassification.from_pretrained("fengguo21/custom-resnet50d", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model_index.json from fengguo21/custom-resnet50d: direct link, hf CLI and curl.
- Browser
- Download file 188 Bytes
-
https://huggingface.co/fengguo21/custom-resnet50d/resolve/main/model_index.json
- Command line
-
hf download hf://fengguo21/custom-resnet50d/model_index.json
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curl -L -o model_index.json https://huggingface.co/fengguo21/custom-resnet50d/resolve/main/model_index.json
188 Bytes
| { | |
| "_class_name": "ResnetModelForImageClassification", | |
| "_diffusers_version": "0.21.4", | |
| "_module": "modeling_resnet", | |
| "architectures": [ | |
| "ResnetModelForImageClassification" | |
| ] | |
| } |