Instructions to use HaidYi/custom-resnet50d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HaidYi/custom-resnet50d with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="HaidYi/custom-resnet50d", trust_remote_code=True, device_map="auto")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("HaidYi/custom-resnet50d", trust_remote_code=True) model = AutoModel.from_pretrained("HaidYi/custom-resnet50d", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:78472643c5bb8b9614a3a08d815c1520408058f47e07b26a0e99918c1f7e3176
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size 102550264
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