Instructions to use amyeroberts/vit-base-beans-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amyeroberts/vit-base-beans-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="amyeroberts/vit-base-beans-1") 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("amyeroberts/vit-base-beans-1") model = AutoModelForImageClassification.from_pretrained("amyeroberts/vit-base-beans-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region | |
| 2024-05-16T18:15:35,20844103-22f2-4177-99d7-f25724b28b42,codecarbon,14.596347332000732,5.807478962366664e-05,0.0001367804705449295,France,FRA,île-de-france,N,, | |