How to use ramnck/beer-classificator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ramnck/beer-classificator") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("ramnck/beer-classificator") model = AutoModelForImageClassification.from_pretrained("ramnck/beer-classificator", device_map="auto")
https://huggingface.co/ramnck/beer-classificator/resolve/main/__pycache__/preprocessing.cpython-311.pyc
hf download hf://ramnck/beer-classificator/__pycache__/preprocessing.cpython-311.pyc
curl -L -o preprocessing.cpython-311.pyc https://huggingface.co/ramnck/beer-classificator/resolve/main/__pycache__/preprocessing.cpython-311.pyc
