Instructions to use DeepLearner101/ImageNetSelectedSubsetBasedModle-Old with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepLearner101/ImageNetSelectedSubsetBasedModle-Old with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="DeepLearner101/ImageNetSelectedSubsetBasedModle-Old") 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/ImageNetSelectedSubsetBasedModle-Old") model = AutoModelForImageClassification.from_pretrained("DeepLearner101/ImageNetSelectedSubsetBasedModle-Old") - Notebooks
- Google Colab
- Kaggle
| {"lr": 0.00022448801847588142, "momentum": 0.9270722878788002, "weight_decay": 1.897324385625801e-05, "dropout_rate": 0.4362394900236761, "l1_factor": 3.13748006666415e-05, "epochs": 20, "epsilon_range": [0.001, 0.01, 0.002], "step_size": 7, "gamma": 0.1, "early_stopping_tolerance": 15, "batch_size": 64} |