ethz/food101
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How to use echarlaix/vit-food101-int8 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="echarlaix/vit-food101-int8")
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("echarlaix/vit-food101-int8")
model = AutoModelForImageClassification.from_pretrained("echarlaix/vit-food101-int8")Model Description: This ViT model fine-tuned on Food-101 was statically quantized and exported to the OpenVINO IR using optimum.
You can use this model with Transformers pipeline.
from transformers import pipeline, AutoFeatureExtractor
from optimum.intel.openvino import OVModelForImageClassification
​
model_id = "echarlaix/vit-food101-int8"
model = OVModelForImageClassification.from_pretrained(model_id)
feature_extractor = AutoFeatureExtractor.from_pretrained(model_id)
pipe = pipeline("image-classification", model=model, feature_extractor=feature_extractor)
outputs = pipe("http://farm2.staticflickr.com/1375/1394861946_171ea43524_z.jpg")