Instructions to use young-man/custom-resnet50d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use young-man/custom-resnet50d with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="young-man/custom-resnet50d", trust_remote_code=True, device_map="auto")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("young-man/custom-resnet50d", trust_remote_code=True) model = AutoModel.from_pretrained("young-man/custom-resnet50d", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoImageProcessor, AutoModel
processor = AutoImageProcessor.from_pretrained("young-man/custom-resnet50d", trust_remote_code=True)
model = AutoModel.from_pretrained("young-man/custom-resnet50d", trust_remote_code=True, device_map="auto")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="young-man/custom-resnet50d", trust_remote_code=True, device_map="auto")