Image Classification
Transformers
PyTorch
TensorFlow
TensorBoard
Safetensors
timm_wrapper
vision
Generated from Trainer
Instructions to use amyeroberts/vit-base-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amyeroberts/vit-base-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="amyeroberts/vit-base-beans") 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") model = AutoModelForImageClassification.from_pretrained("amyeroberts/vit-base-beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
252909e
1
Parent(s): c8df074
Model save
Browse files
emissions.csv
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timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
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2023-01-30T16:18:59,e62bec3c-2bd4-4b3f-8474-0de25a0fdd08,codecarbon,959.3560330867767,0.007588203375663657,0.011290137082590192,United Kingdom,GBR,england,N,,
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pytorch_model.bin
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