Instructions to use DeepLearner101/ImageNetSelectedSubsetBasedModel-Trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepLearner101/ImageNetSelectedSubsetBasedModel-Trained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="DeepLearner101/ImageNetSelectedSubsetBasedModel-Trained") 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("DeepLearner101/ImageNetSelectedSubsetBasedModel-Trained") model = AutoModelForImageClassification.from_pretrained("DeepLearner101/ImageNetSelectedSubsetBasedModel-Trained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Parent(s): 693f1c5
Add pytorch_model_0154.pth and related files
Browse files- pytorch_model_0154.pth +3 -0
- training_metrics_0154.json +0 -0
pytorch_model_0154.pth
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training_metrics_0154.json
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