ethz/food101
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How to use mmunoz96/results with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="mmunoz96/results")
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("mmunoz96/results")
model = AutoModelForImageClassification.from_pretrained("mmunoz96/results")This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the food101 dataset.
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The following hyperparameters were used during training:
Base model
google/vit-base-patch16-224-in21k