Instructions to use cherrue/RandomCrop_Rescale_epoch_3_learning_rate_5e_5_decay_0_01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cherrue/RandomCrop_Rescale_epoch_3_learning_rate_5e_5_decay_0_01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="cherrue/RandomCrop_Rescale_epoch_3_learning_rate_5e_5_decay_0_01") 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("cherrue/RandomCrop_Rescale_epoch_3_learning_rate_5e_5_decay_0_01") model = AutoModelForImageClassification.from_pretrained("cherrue/RandomCrop_Rescale_epoch_3_learning_rate_5e_5_decay_0_01") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!