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ThatOrJohn
/
efficientnet-b1-pineapple

Image Classification
Transformers
TensorBoard
Safetensors
efficientnet
Trained with AutoTrain
Model card Files
xet
 Metrics Community
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-classification", model="ThatOrJohn/efficientnet-b1-pineapple")
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("ThatOrJohn/efficientnet-b1-pineapple")
model = AutoModelForImageClassification.from_pretrained("ThatOrJohn/efficientnet-b1-pineapple")
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Model description

Fine-tuned to classify between pineapple rings vs chunks

Model Trained Using AutoTrain

  • Problem type: Image Classification

Validation Metrics

No validation metrics available

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6
Safetensors
Model size
6.58M params
Tensor type
F32
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google/efficientnet-b1
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