Instructions to use DeepLearner101/ImageNetSelectedSubsetBasedModel-TransferLearning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepLearner101/ImageNetSelectedSubsetBasedModel-TransferLearning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="DeepLearner101/ImageNetSelectedSubsetBasedModel-TransferLearning") 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-TransferLearning") model = AutoModelForImageClassification.from_pretrained("DeepLearner101/ImageNetSelectedSubsetBasedModel-TransferLearning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
705085a
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Parent(s): fd4dd7c
Upload hyperparameters_tuning_results.csv with huggingface_hub
Browse files
hyperparameters_tuning_results.csv
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date,timestamp,pid,hostname,node_ip,config/lr,config/weight_decay,config/dropout_rate,config/l1_factor,config/epochs,config/epsilon_range,config/step_size,config/gamma,config/early_stopping_tolerance,config/training_batch_size,config/validation_batch_size
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date,timestamp,pid,hostname,node_ip,config/lr,config/weight_decay,config/dropout_rate,config/l1_factor,config/epochs,config/epsilon_range,config/step_size,config/gamma,config/early_stopping_tolerance,config/training_batch_size,config/validation_batch_size
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2023-12-26_17-46-18,1703612778.0,10736.0,6e8ae3d83bb2,172.28.0.12,8.402453424556672e-05,0.000483167340899458,0.5435065710345386,6.727096165970101e-06,15.0,"(0.001, 0.007, 0.002)",5.0,0.3,5.0,256.0,50.0
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2023-12-26_17-46-56,1703612816.0,10938.0,6e8ae3d83bb2,172.28.0.12,0.00024139957319456958,0.00013807255304309143,0.4710363827943135,2.3944321281143024e-06,25.0,"(0.001, 0.007, 0.002)",10.0,0.3,10.0,128.0,32.0
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